diff --git a/examples/mysite/title_page/subpage/water/science/fmu/kai-iwi/generate_fmu_page.py b/examples/mysite/title_page/subpage/water/science/fmu/kai-iwi/generate_fmu_page.py
index 1fc9b046..d29e13d0 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/kai-iwi/generate_fmu_page.py
+++ b/examples/mysite/title_page/subpage/water/science/fmu/kai-iwi/generate_fmu_page.py
@@ -99,7 +99,7 @@
     title="",
     columns=8,
     width="80%",
-    mobile_width="100%",
+    mobile_width="90%",
     background_image_url="../../../../../assets/water/water_bg.png",
     background_image_opacity=0.25,
     background_image_size="100%",
@@ -149,7 +149,7 @@
 icons = [
     {"id": "icon1", "img": "../../../../../assets/water/20221123_OrangaWai_IconEcoli.png", "hover": "E. <i>coli</i>", "md_dir": "md/ecoli", "map_file": "results/Map_E coli.html"},
     {"id": "icon2", "img": "../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png", "hover": "Suspended sediment", "md_dir": "md/Sediment", "map_file": "results/FMU_Boundary_Only.html"},
-    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Nitrate-N.html"},
+    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Combined_Nitrogen.html"},
     {"id": "icon4", "img": "../../../../../assets/water/20221123_OrangaWai_IconP.png", "hover": "Phosphorus", "md_dir": "md/Phosphorus", "map_file": "results/Map_DRP.html"},
     {"id": "icon5", "img": "../../../../../assets/water/20221123_OrangaWai_IconChlA.png", "hover": "Algae", "md_dir": "md/Algae", "map_file": "results/FMU_Boundary_Only.html"},
     {"id": "icon6", "img": "../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png", "hover": "Invertebrates", "md_dir": "md/inverts", "map_file": "results/FMU_Boundary_Only.html"}
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/kai-iwi/index.html b/examples/mysite/title_page/subpage/water/science/fmu/kai-iwi/index.html
index 5e0a343e..ff103b37 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/kai-iwi/index.html
+++ b/examples/mysite/title_page/subpage/water/science/fmu/kai-iwi/index.html
@@ -233,7 +233,7 @@
 
         @media (max-width: 900px) {
             .dashboard-container {
-                max-width: 100%;
+                max-width: 90%;
 
                 gap: 0.35rem;
 
@@ -270,7 +270,7 @@
 
         /* Force Mobile Layout */
         body.force-mobile .dashboard-container {
-            max-width: 100% !important;
+            max-width: 90% !important;
 
             gap: 0.35rem !important;
 
@@ -1638,7 +1638,7 @@ <h2 id="sidebar-title">Details</h2>
         });
 
         // SIVO passes `views_data` directly to this template
-        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Kai Iwi\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Kai Iwi FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Kai Iwi\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Kai Iwi FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Kai Iwi\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Kai Iwi FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Kai Iwi\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Kai Iwi FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Kai Iwi\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Kai Iwi FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Kai Iwi\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Kai Iwi FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Kai Iwi\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Kai Iwi FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Kai Iwi\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Kai Iwi FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Kai Iwi\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Kai Iwi FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Kai Iwi\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Kai Iwi FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Kai Iwi\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Kai Iwi FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Kai Iwi\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Kai Iwi FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Kai Iwi\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Kai Iwi\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Kai Iwi\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Kai Iwi\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Kai Iwi\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Kai Iwi\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Kai Iwi\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Kai Iwi\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Kai Iwi\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Kai Iwi FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Kai Iwi\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Kai Iwi FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Kai Iwi\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Kai Iwi FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Kai Iwi\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Kai Iwi FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
+        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Kai Iwi\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Kai Iwi FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Kai Iwi\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Kai Iwi FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Kai Iwi\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Kai Iwi FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Kai Iwi\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Kai Iwi FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Kai Iwi\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Kai Iwi FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Kai Iwi\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Kai Iwi FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Kai Iwi\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Kai Iwi FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Kai Iwi\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Kai Iwi FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Kai Iwi\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Kai Iwi FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Kai Iwi\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Kai Iwi FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Kai Iwi\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Kai Iwi FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Kai Iwi\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Kai Iwi FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Kai Iwi\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Kai Iwi\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Kai Iwi\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Kai Iwi\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 1 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Kai Iwi\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Kai Iwi\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Kai Iwi\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Kai Iwi\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Kai Iwi FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Kai Iwi\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Kai Iwi FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Kai Iwi\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Kai Iwi FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Kai Iwi\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Kai Iwi FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Kai Iwi\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Kai Iwi FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Kai Iwi FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 0 monitoring sites across the Kai Iwi FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Kai Iwi FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eKai Iwi FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"920px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"1730px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/FMU_Boundary_Only.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
         const activeCharts = {};
 
         // --- Tab Logic ---
diff --git "a/examples/mysite/title_page/subpage/water/science/fmu/manawat\305\253/generate_fmu_page.py" "b/examples/mysite/title_page/subpage/water/science/fmu/manawat\305\253/generate_fmu_page.py"
index ca1f17ae..94ec0a8c 100644
--- "a/examples/mysite/title_page/subpage/water/science/fmu/manawat\305\253/generate_fmu_page.py"
+++ "b/examples/mysite/title_page/subpage/water/science/fmu/manawat\305\253/generate_fmu_page.py"
@@ -99,7 +99,7 @@
     title="",
     columns=8,
     width="80%",
-    mobile_width="100%",
+    mobile_width="90%",
     background_image_url="../../../../../assets/water/water_bg.png",
     background_image_opacity=0.25,
     background_image_size="100%",
diff --git "a/examples/mysite/title_page/subpage/water/science/fmu/manawat\305\253/index.html" "b/examples/mysite/title_page/subpage/water/science/fmu/manawat\305\253/index.html"
index a8309c38..a9c6a129 100644
--- "a/examples/mysite/title_page/subpage/water/science/fmu/manawat\305\253/index.html"
+++ "b/examples/mysite/title_page/subpage/water/science/fmu/manawat\305\253/index.html"
@@ -233,7 +233,7 @@
 
         @media (max-width: 900px) {
             .dashboard-container {
-                max-width: 100%;
+                max-width: 90%;
 
                 gap: 0.35rem;
 
@@ -270,7 +270,7 @@
 
         /* Force Mobile Layout */
         body.force-mobile .dashboard-container {
-            max-width: 100% !important;
+            max-width: 90% !important;
 
             gap: 0.35rem !important;
 
@@ -1859,7 +1859,7 @@ <h2 id="sidebar-title">Details</h2>
 
 
 
-                window.sivoOverlayData['button_trend'] = "# Diving Deeper: How We Calculate Trends\n\nTo understand if our water quality is truly improving or degrading, we look at long-term trends. In this report, we specifically calculate and focus on 15-year trends to include more monitoring sites that have a reliable, consistent length of data. If you are interested in exploring trends over 5, 10, or 20 years, you can visit the Land, Air, Water Aotearoa (LAWA) website.\n\n### Strict Data Rules\nBefore we calculate a trend, the raw data goes through strict quality control to remove any missing or compromised measurements. To calculate a reliable 15-year trend, a monitoring site must have at least 90% of its expected water samples, covering at least 90% of those 15 years.\n\n### Dealing with \"Invisible\" Pollution\nSometimes, the amount of a pollutant in the water is so tiny that standard laboratory tests cannot even detect it. If a monitoring site has too many of these undetected results, or if it is missing too much overall data, scientists cannot calculate a reliable trend. In these cases, the site is simply marked as \"Not Assessed\".\n\n### Accounting for the Seasons\nWater quality naturally fluctuates with the changing seasons and weather. To ensure these natural cycles do not hide the real long-term trend, scientists use a specific statistical method that compares data from the exact same time of year. For example, they only compare January water samples with other January samples.\n\n### The Impact of River Flow\nWater quality can also change drastically depending on how fast or high a river is flowing. For instance, a flooded river will naturally carry much more dirt and sediment than a calm one. While it would be ideal to adjust the data to account for river flow, many water quality monitoring sites do not have flow meters installed. Therefore, these trends show the actual, real-world changes in water quality, regardless of how high or low the river was at the time.\n\n### The Influence of Climate Cycles\nWater quality is always changing due to natural events like floods, droughts, and broader climate patterns. While human activities directly impact our rivers, natural forces we cannot control\u2014such as long-term climate cycles\u2014also significantly influence trend results. This makes identifying the exact cause of a trend a complex task. By analysing data over a 15-year period, we make the trends more reliable and less sensitive to these short-term weather and climatic fluctuations.\n\n### Understanding the Limits of Trends\nWhen a trend is categorised as \"very likely\" or \"likely,\" it simply means experts are confident the water quality is generally moving in a certain direction. However, it is important to remember what trends *cannot* tell us:\n\n*   **Size:** A trend indicates the direction of change, not the magnitude or scale. Even a \"very likely improving\" waterway might only have a tiny decrease in pollution.\n*   **Steadiness:** A trend does not mean the change happened smoothly. Water quality can still jump up and down year to year within that 15-year period. \n*   **The Future:** We only calculate changes within the strict 15-year window. We cannot use this data to guess what the water was like before, or predict exactly what it will do next.\n";
+                window.sivoOverlayData['button_trend'] = "# Diving Deeper: How We Calculate Trends\n\nTo understand if our water quality is truly improving or degrading, we look at long-term trends. In this report, we specifically calculate and focus on 15-year trends to include more monitoring sites that have a reliable, consistent length of data. If you are interested in exploring trends over 5, 10, or 20 years, you can visit the Land, Air, Water Aotearoa (LAWA) website.\n\n### Strict Data Rules\nBefore we calculate a trend, the raw data goes through strict quality control to remove any missing or compromised measurements. To calculate a reliable 15-year trend, a monitoring site must have at least 90% of its expected water samples, covering at least 90% of those 15 years.\n\n### Dealing with \"Invisible\" Pollution\nSometimes, the amount of a pollutant in the water is so tiny that standard laboratory tests cannot even detect it. If a monitoring site has too many of these undetected results, or if it is missing too much overall data, scientists cannot calculate a reliable trend. In these cases, the site is simply marked as \"Not Assessed\".\n\n### Accounting for the Seasons\nWater quality naturally fluctuates with the changing seasons and weather. To ensure these natural cycles do not hide the real long-term trend, scientists use a specific statistical method that compares data from the exact same time of year. For example, they only compare January water samples with other January samples.\n\n### The Impact of River Flow\nWater quality can also change drastically depending on how fast or high a river is flowing. For instance, a flooded river will naturally carry much more dirt and sediment than a calm one. While it would be ideal to adjust the data to account for river flow, many water quality monitoring sites do not have flow meters installed. Therefore, these trends show the actual, real-world changes in water quality, regardless of how high or low the river was at the time.\n\n### The Influence of Climate Cycles\nWater quality is always changing due to natural events like floods, droughts, and broader climate patterns. While human activities directly impact our rivers, natural forces we cannot control\u2014such as long-term climate cycles\u2014also significantly influence trend results. This makes identifying the exact cause of a trend a complex task. By analysing data over a 15-year period, we make the trends more reliable and less sensitive to these short-term weather and climatic fluctuations.\n\n### Understanding the Limits of Trends\nWhen a trend is categorised as \"very likely\" or \"likely,\" it simply means experts are confident the water quality is generally moving in a certain direction. However, it is important to remember what trends *cannot* tell us:\n\n*   **Size:** A trend indicates the direction of change, not the magnitude or scale. Even a \"very likely improving\" waterway might only have a tiny decrease in pollution.\n*   **Steadiness:** A trend does not mean the change happened smoothly. Water quality can still jump up and down year to year within that 15-year period.\n*   **The Future:** We only calculate changes within the strict 15-year window. We cannot use this data to guess what the water was like before, or predict exactly what it will do next.\n";
                 window.sivoOverlaySizes['button_trend'] = {
                     width: "90%",
                     height: "90%"
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/puketoi-ki-tai/generate_fmu_page.py b/examples/mysite/title_page/subpage/water/science/fmu/puketoi-ki-tai/generate_fmu_page.py
index bd717388..f312a2fb 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/puketoi-ki-tai/generate_fmu_page.py
+++ b/examples/mysite/title_page/subpage/water/science/fmu/puketoi-ki-tai/generate_fmu_page.py
@@ -98,7 +98,7 @@
     title="",
     columns=8,
     width="80%",
-    mobile_width="100%",
+    mobile_width="90%",
     background_image_url="../../../../../assets/water/water_bg.png",
     background_image_opacity=0.25,
     background_image_size="100%",
@@ -148,7 +148,7 @@
 icons = [
     {"id": "icon1", "img": "../../../../../assets/water/20221123_OrangaWai_IconEcoli.png", "hover": "E. <i>coli</i>", "md_dir": "md/ecoli", "map_file": "results/Map_E coli.html"},
     {"id": "icon2", "img": "../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png", "hover": "Suspended sediment", "md_dir": "md/Sediment", "map_file": "results/Map_Visual Clarity.html"},
-    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Nitrate-N.html"},
+    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Combined_Nitrogen.html"},
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@@ -270,7 +270,7 @@
 
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@@ -1620,7 +1620,7 @@ <h2 id="sidebar-title">Details</h2>
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-        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Manawat\u016b\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Manawat\u016b FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Manawat\u016b\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Manawat\u016b FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Manawat\u016b\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Manawat\u016b FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Manawat\u016b\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Manawat\u016b FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Manawat\u016b\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Manawat\u016b FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Manawat\u016b\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Manawat\u016b FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Manawat\u016b\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Manawat\u016b FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Manawat\u016b\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Manawat\u016b FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Manawat\u016b\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Manawat\u016b FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Manawat\u016b\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Manawat\u016b FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Manawat\u016b\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Manawat\u016b FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Manawat\u016b\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Manawat\u016b FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Manawat\u016b\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Manawat\u016b\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Manawat\u016b\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Manawat\u016b\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Manawat\u016b\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Manawat\u016b FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Manawat\u016b\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Manawat\u016b FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Manawat\u016b\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Manawat\u016b FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Manawat\u016b\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Manawat\u016b FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
+        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Manawat\u016b\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Manawat\u016b FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Manawat\u016b\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Manawat\u016b FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Manawat\u016b\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Manawat\u016b FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Manawat\u016b\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Manawat\u016b FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Manawat\u016b\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Manawat\u016b FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Manawat\u016b\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Manawat\u016b FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Manawat\u016b\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Manawat\u016b FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Manawat\u016b\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Manawat\u016b FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Manawat\u016b\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Manawat\u016b FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Manawat\u016b\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Manawat\u016b FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Manawat\u016b\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Manawat\u016b FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Manawat\u016b\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Manawat\u016b FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e100.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Manawat\u016b\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Manawat\u016b\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Manawat\u016b\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Manawat\u016b\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Manawat\u016b FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 3 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 2 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e50.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Manawat\u016b\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Manawat\u016b FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Manawat\u016b\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Manawat\u016b FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Manawat\u016b\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Manawat\u016b FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Manawat\u016b\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Manawat\u016b FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Manawat\u016b FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 1 monitoring sites across the Manawat\u016b FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Manawat\u016b FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eManawat\u016b FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
         const activeCharts = {};
 
         // --- Tab Logic ---
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/rangitikei-turakina/generate_fmu_page.py b/examples/mysite/title_page/subpage/water/science/fmu/rangitikei-turakina/generate_fmu_page.py
index a8a32717..be886af0 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/rangitikei-turakina/generate_fmu_page.py
+++ b/examples/mysite/title_page/subpage/water/science/fmu/rangitikei-turakina/generate_fmu_page.py
@@ -99,7 +99,7 @@
     title="",
     columns=8,
     width="80%",
-    mobile_width="100%",
+    mobile_width="90%",
     background_image_url="../../../../../assets/water/water_bg.png",
     background_image_opacity=0.25,
     background_image_size="100%",
@@ -149,7 +149,7 @@
 icons = [
     {"id": "icon1", "img": "../../../../../assets/water/20221123_OrangaWai_IconEcoli.png", "hover": "E. <i>coli</i>", "md_dir": "md/ecoli", "map_file": "results/Map_E coli.html"},
     {"id": "icon2", "img": "../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png", "hover": "Suspended sediment", "md_dir": "md/Sediment", "map_file": "results/Map_Visual Clarity.html"},
-    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Nitrate-N.html"},
+    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Combined_Nitrogen.html"},
     {"id": "icon4", "img": "../../../../../assets/water/20221123_OrangaWai_IconP.png", "hover": "Phosphorus", "md_dir": "md/Phosphorus", "map_file": "results/Map_DRP.html"},
     {"id": "icon5", "img": "../../../../../assets/water/20221123_OrangaWai_IconChlA.png", "hover": "Algae", "md_dir": "md/Algae", "map_file": "results/Map_Chlorophyll A.html"},
     {"id": "icon6", "img": "../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png", "hover": "Invertebrates", "md_dir": "md/inverts", "map_file": "results/Map_MCI.html"}
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/rangitikei-turakina/index.html b/examples/mysite/title_page/subpage/water/science/fmu/rangitikei-turakina/index.html
index 966ea82b..1ff8bf62 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/rangitikei-turakina/index.html
+++ b/examples/mysite/title_page/subpage/water/science/fmu/rangitikei-turakina/index.html
@@ -233,7 +233,7 @@
 
         @media (max-width: 900px) {
             .dashboard-container {
-                max-width: 100%;
+                max-width: 90%;
 
                 gap: 0.35rem;
 
@@ -270,7 +270,7 @@
 
         /* Force Mobile Layout */
         body.force-mobile .dashboard-container {
-            max-width: 100% !important;
+            max-width: 90% !important;
 
             gap: 0.35rem !important;
 
@@ -1638,7 +1638,7 @@ <h2 id="sidebar-title">Details</h2>
         });
 
         // SIVO passes `views_data` directly to this template
-        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Rangit\u012bkei-Turakina\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Rangit\u012bkei-Turakina FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e14.3% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e71.4% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e76.92% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e7.69% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Rangit\u012bkei-Turakina\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Rangit\u012bkei-Turakina FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e14.3% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e71.4% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e76.92% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e7.69% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Rangit\u012bkei-Turakina\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Rangit\u012bkei-Turakina FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e14.3% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e71.4% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e76.92% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e7.69% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Rangit\u012bkei-Turakina\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Rangit\u012bkei-Turakina FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e14.3% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e71.4% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e76.92% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e7.69% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Rangit\u012bkei-Turakina\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Rangit\u012bkei-Turakina FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 11 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e81.82% (9)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Rangit\u012bkei-Turakina\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Rangit\u012bkei-Turakina FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 11 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e81.82% (9)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Rangit\u012bkei-Turakina\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Rangit\u012bkei-Turakina FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 11 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e81.82% (9)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Rangit\u012bkei-Turakina\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Rangit\u012bkei-Turakina FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 11 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e81.82% (9)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Rangit\u012bkei-Turakina\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Rangit\u012bkei-Turakina FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e71.4% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e21.4% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e84.62% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e57.14% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Rangit\u012bkei-Turakina\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Rangit\u012bkei-Turakina FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e71.4% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e21.4% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e84.62% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e57.14% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Rangit\u012bkei-Turakina\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Rangit\u012bkei-Turakina FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e71.4% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e21.4% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e84.62% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e57.14% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Rangit\u012bkei-Turakina\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Rangit\u012bkei-Turakina FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e71.4% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e21.4% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e84.62% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e57.14% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Rangit\u012bkei-Turakina\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 15 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e46.7% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e71.43% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"500px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Rangit\u012bkei-Turakina\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 15 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e46.7% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e71.43% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"500px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Rangit\u012bkei-Turakina\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 15 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e46.7% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e71.43% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"500px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Rangit\u012bkei-Turakina\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 15 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e46.7% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e71.43% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"500px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Rangit\u012bkei-Turakina\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Rangit\u012bkei-Turakina\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Rangit\u012bkei-Turakina\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Rangit\u012bkei-Turakina\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Rangit\u012bkei-Turakina\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Rangit\u012bkei-Turakina\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Rangit\u012bkei-Turakina\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Rangit\u012bkei-Turakina\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
+        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Rangit\u012bkei-Turakina\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Rangit\u012bkei-Turakina FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e14.3% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e71.4% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e76.92% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e7.69% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Rangit\u012bkei-Turakina\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Rangit\u012bkei-Turakina FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e14.3% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e71.4% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e76.92% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e7.69% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Rangit\u012bkei-Turakina\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Rangit\u012bkei-Turakina FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e14.3% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e71.4% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e76.92% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e7.69% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Rangit\u012bkei-Turakina\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Rangit\u012bkei-Turakina FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e14.3% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e71.4% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e76.92% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e7.69% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Rangit\u012bkei-Turakina\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Rangit\u012bkei-Turakina FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 11 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e81.82% (9)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Rangit\u012bkei-Turakina\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Rangit\u012bkei-Turakina FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 11 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e81.82% (9)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Rangit\u012bkei-Turakina\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Rangit\u012bkei-Turakina FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 11 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e81.82% (9)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Rangit\u012bkei-Turakina\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Rangit\u012bkei-Turakina FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e100.0% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 11 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e81.82% (9)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Rangit\u012bkei-Turakina\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Rangit\u012bkei-Turakina FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e71.4% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e21.4% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e84.62% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e57.14% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Rangit\u012bkei-Turakina\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Rangit\u012bkei-Turakina FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e71.4% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e21.4% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e84.62% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e57.14% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Rangit\u012bkei-Turakina\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Rangit\u012bkei-Turakina FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e71.4% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e21.4% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e84.62% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e57.14% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Rangit\u012bkei-Turakina\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Rangit\u012bkei-Turakina FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e71.4% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e21.4% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 13 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e84.62% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e15.38% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e57.14% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"470px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"498px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Rangit\u012bkei-Turakina\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 15 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e46.7% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e71.43% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"500px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Rangit\u012bkei-Turakina\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 15 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e46.7% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e71.43% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"500px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Rangit\u012bkei-Turakina\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 15 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e46.7% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e71.43% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"500px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Rangit\u012bkei-Turakina\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 15 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e46.7% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 14 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e14.29% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e71.43% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"500px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Rangit\u012bkei-Turakina\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Rangit\u012bkei-Turakina\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Rangit\u012bkei-Turakina\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Rangit\u012bkei-Turakina\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e20.0% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 5 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Rangit\u012bkei-Turakina\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Rangit\u012bkei-Turakina\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Rangit\u012bkei-Turakina\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Rangit\u012bkei-Turakina\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Rangit\u012bkei-Turakina FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Rangit\u012bkei-Turakina FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Rangit\u012bkei-Turakina FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Rangit\u012bkei-Turakina FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eRangit\u012bkei-Turakina FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
         const activeCharts = {};
 
         // --- Tab Logic ---
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/waiopehu/generate_fmu_page.py b/examples/mysite/title_page/subpage/water/science/fmu/waiopehu/generate_fmu_page.py
index 310b165d..c5f18396 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/waiopehu/generate_fmu_page.py
+++ b/examples/mysite/title_page/subpage/water/science/fmu/waiopehu/generate_fmu_page.py
@@ -99,7 +99,7 @@
     title="",
     columns=8,
     width="80%",
-    mobile_width="100%",
+    mobile_width="90%",
     background_image_url="../../../../../assets/water/water_bg.png",
     background_image_opacity=0.25,
     background_image_size="100%",
@@ -149,7 +149,7 @@
 icons = [
     {"id": "icon1", "img": "../../../../../assets/water/20221123_OrangaWai_IconEcoli.png", "hover": "E. <i>coli</i>", "md_dir": "md/ecoli", "map_file": "results/Map_E coli.html"},
     {"id": "icon2", "img": "../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png", "hover": "Suspended sediment", "md_dir": "md/Sediment", "map_file": "results/Map_Visual Clarity.html"},
-    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Nitrate-N.html"},
+    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Combined_Nitrogen.html"},
     {"id": "icon4", "img": "../../../../../assets/water/20221123_OrangaWai_IconP.png", "hover": "Phosphorus", "md_dir": "md/Phosphorus", "map_file": "results/Map_DRP.html"},
     {"id": "icon5", "img": "../../../../../assets/water/20221123_OrangaWai_IconChlA.png", "hover": "Algae", "md_dir": "md/Algae", "map_file": "results/Map_Chlorophyll A.html"},
     {"id": "icon6", "img": "../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png", "hover": "Invertebrates", "md_dir": "md/inverts", "map_file": "results/Map_MCI.html"}
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/waiopehu/index.html b/examples/mysite/title_page/subpage/water/science/fmu/waiopehu/index.html
index 57b86915..3fb719ca 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/waiopehu/index.html
+++ b/examples/mysite/title_page/subpage/water/science/fmu/waiopehu/index.html
@@ -233,7 +233,7 @@
 
         @media (max-width: 900px) {
             .dashboard-container {
-                max-width: 100%;
+                max-width: 90%;
 
                 gap: 0.35rem;
 
@@ -270,7 +270,7 @@
 
         /* Force Mobile Layout */
         body.force-mobile .dashboard-container {
-            max-width: 100% !important;
+            max-width: 90% !important;
 
             gap: 0.35rem !important;
 
@@ -1638,7 +1638,7 @@ <h2 id="sidebar-title">Details</h2>
         });
 
         // SIVO passes `views_data` directly to this template
-        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Waiopehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Waiopehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Waiopehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e50.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Waiopehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Waiopehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Waiopehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e50.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Waiopehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Waiopehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Waiopehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e50.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Waiopehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Waiopehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Waiopehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e50.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Waiopehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Waiopehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e66.7% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Waiopehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Waiopehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e66.7% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Waiopehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Waiopehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e66.7% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Waiopehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Waiopehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e66.7% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Waiopehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Waiopehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e75.0% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e55.56% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e66.67% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Waiopehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Waiopehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e75.0% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e55.56% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e66.67% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Waiopehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Waiopehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e75.0% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e55.56% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e66.67% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Waiopehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Waiopehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e75.0% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e55.56% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e66.67% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Waiopehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Waiopehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Waiopehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Waiopehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Waiopehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 6 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e83.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Waiopehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 6 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e83.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Waiopehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 6 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e83.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Waiopehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 6 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e83.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Waiopehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Waiopehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 11 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e18.2% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e87.5% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Waiopehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Waiopehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 11 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e18.2% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e87.5% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Waiopehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Waiopehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 11 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e18.2% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e87.5% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Waiopehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Waiopehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 11 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e18.2% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e87.5% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
+        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Waiopehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Waiopehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Waiopehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e50.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Waiopehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Waiopehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Waiopehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e50.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Waiopehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Waiopehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Waiopehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e50.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Waiopehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Waiopehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Waiopehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e50.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Waiopehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Waiopehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e66.7% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Waiopehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Waiopehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e66.7% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Waiopehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Waiopehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e66.7% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Waiopehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Waiopehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e66.7% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Waiopehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Waiopehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e75.0% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e55.56% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e66.67% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Waiopehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Waiopehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e75.0% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e55.56% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e66.67% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Waiopehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Waiopehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e75.0% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e55.56% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e66.67% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Waiopehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Waiopehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e75.0% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e50.0% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e55.56% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e66.67% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Waiopehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Waiopehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Waiopehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Waiopehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Waiopehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 6 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e83.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Waiopehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 6 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e83.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Waiopehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 6 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e83.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Waiopehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Waiopehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 6 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e83.3% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Waiopehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Waiopehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 11 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e18.2% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e87.5% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Waiopehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Waiopehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 11 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e18.2% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e87.5% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Waiopehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Waiopehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 11 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e18.2% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e87.5% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Waiopehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Waiopehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Waiopehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 11 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e18.2% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Waiopehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Waiopehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWaiopehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e87.5% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
         const activeCharts = {};
 
         // --- Tab Logic ---
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/whangaehu/generate_fmu_page.py b/examples/mysite/title_page/subpage/water/science/fmu/whangaehu/generate_fmu_page.py
index a73aff9e..6ecff7a7 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/whangaehu/generate_fmu_page.py
+++ b/examples/mysite/title_page/subpage/water/science/fmu/whangaehu/generate_fmu_page.py
@@ -99,7 +99,7 @@
     title="",
     columns=8,
     width="80%",
-    mobile_width="100%",
+    mobile_width="90%",
     background_image_url="../../../../../assets/water/water_bg.png",
     background_image_opacity=0.25,
     background_image_size="100%",
@@ -149,7 +149,7 @@
 icons = [
     {"id": "icon1", "img": "../../../../../assets/water/20221123_OrangaWai_IconEcoli.png", "hover": "E. <i>coli</i>", "md_dir": "md/ecoli", "map_file": "results/Map_E coli.html"},
     {"id": "icon2", "img": "../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png", "hover": "Suspended sediment", "md_dir": "md/Sediment", "map_file": "results/Map_Visual Clarity.html"},
-    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Nitrate-N.html"},
+    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Combined_Nitrogen.html"},
     {"id": "icon4", "img": "../../../../../assets/water/20221123_OrangaWai_IconP.png", "hover": "Phosphorus", "md_dir": "md/Phosphorus", "map_file": "results/Map_DRP.html"},
     {"id": "icon5", "img": "../../../../../assets/water/20221123_OrangaWai_IconChlA.png", "hover": "Algae", "md_dir": "md/Algae", "map_file": "results/Map_Chlorophyll A.html"},
     {"id": "icon6", "img": "../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png", "hover": "Invertebrates", "md_dir": "md/inverts", "map_file": "results/Map_MCI.html"}
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/whangaehu/index.html b/examples/mysite/title_page/subpage/water/science/fmu/whangaehu/index.html
index 7a23d947..1ce204d0 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/whangaehu/index.html
+++ b/examples/mysite/title_page/subpage/water/science/fmu/whangaehu/index.html
@@ -233,7 +233,7 @@
 
         @media (max-width: 900px) {
             .dashboard-container {
-                max-width: 100%;
+                max-width: 90%;
 
                 gap: 0.35rem;
 
@@ -270,7 +270,7 @@
 
         /* Force Mobile Layout */
         body.force-mobile .dashboard-container {
-            max-width: 100% !important;
+            max-width: 90% !important;
 
             gap: 0.35rem !important;
 
@@ -1638,7 +1638,7 @@ <h2 id="sidebar-title">Details</h2>
         });
 
         // SIVO passes `views_data` directly to this template
-        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whangaehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whangaehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whangaehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e41.7% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whangaehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whangaehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whangaehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e41.7% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whangaehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whangaehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whangaehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e41.7% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whangaehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whangaehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whangaehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e41.7% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whangaehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whangaehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 4 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e50.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 9 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whangaehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whangaehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 4 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e50.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 9 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whangaehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whangaehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 4 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e50.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 9 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whangaehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whangaehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 4 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e50.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 9 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whangaehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whangaehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e91.7% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e36.36% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e45.45% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whangaehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whangaehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e91.7% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e36.36% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e45.45% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whangaehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whangaehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e91.7% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e36.36% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e45.45% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whangaehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whangaehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e91.7% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e36.36% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e45.45% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whangaehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e41.7% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whangaehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e41.7% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whangaehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e41.7% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whangaehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e41.7% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whangaehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whangaehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whangaehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whangaehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whangaehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whangaehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whangaehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whangaehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whangaehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whangaehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whangaehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whangaehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
+        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whangaehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whangaehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whangaehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e41.7% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whangaehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whangaehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whangaehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e41.7% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whangaehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whangaehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whangaehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e41.7% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whangaehu\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whangaehu FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whangaehu FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e16.7% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e41.7% (5)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whangaehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whangaehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 4 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e50.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 9 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whangaehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whangaehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 4 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e50.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 9 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whangaehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whangaehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 4 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e50.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 9 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whangaehu\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whangaehu FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 4 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e50.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 9 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whangaehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whangaehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e91.7% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e36.36% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e45.45% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whangaehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whangaehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e91.7% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e36.36% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e45.45% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whangaehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whangaehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e91.7% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e36.36% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e45.45% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whangaehu\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whangaehu FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e91.7% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e8.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e36.36% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e45.45% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e18.18% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e8.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e58.33% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whangaehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e41.7% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whangaehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e41.7% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whangaehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e41.7% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whangaehu\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e41.7% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e33.3% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 12 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whangaehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whangaehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whangaehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whangaehu\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whangaehu FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e50.0% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e62.5% (5)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whangaehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whangaehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whangaehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whangaehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whangaehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whangaehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whangaehu\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whangaehu FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whangaehu FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e25.0% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 8 monitoring sites across the Whangaehu FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whangaehu FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhangaehu FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e37.5% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e12.5% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e50.0% (4)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
         const activeCharts = {};
 
         // --- Tab Logic ---
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/whanganui/generate_fmu_page.py b/examples/mysite/title_page/subpage/water/science/fmu/whanganui/generate_fmu_page.py
index 17606a19..ba8423da 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/whanganui/generate_fmu_page.py
+++ b/examples/mysite/title_page/subpage/water/science/fmu/whanganui/generate_fmu_page.py
@@ -99,7 +99,7 @@
     title="",
     columns=8,
     width="80%",
-    mobile_width="100%",
+    mobile_width="90%",
     background_image_url="../../../../../assets/water/water_bg.png",
     background_image_opacity=0.25,
     background_image_size="100%",
@@ -149,7 +149,7 @@
 icons = [
     {"id": "icon1", "img": "../../../../../assets/water/20221123_OrangaWai_IconEcoli.png", "hover": "E. <i>coli</i>", "md_dir": "md/ecoli", "map_file": "results/Map_E coli.html"},
     {"id": "icon2", "img": "../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png", "hover": "Suspended sediment", "md_dir": "md/Sediment", "map_file": "results/Map_Visual Clarity.html"},
-    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Nitrate-N.html"},
+    {"id": "icon3", "img": "../../../../../assets/water/20221123_OrangaWai_IconN.png", "hover": "Nitrogen", "md_dir": "md/Nitrogen", "map_file": "results/Map_Combined_Nitrogen.html"},
     {"id": "icon4", "img": "../../../../../assets/water/20221123_OrangaWai_IconP.png", "hover": "Phosphorus", "md_dir": "md/Phosphorus", "map_file": "results/Map_DRP.html"},
     {"id": "icon5", "img": "../../../../../assets/water/20221123_OrangaWai_IconChlA.png", "hover": "Algae", "md_dir": "md/Algae", "map_file": "results/Map_Chlorophyll A.html"},
     {"id": "icon6", "img": "../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png", "hover": "Invertebrates", "md_dir": "md/inverts", "map_file": "results/Map_MCI.html"}
diff --git a/examples/mysite/title_page/subpage/water/science/fmu/whanganui/index.html b/examples/mysite/title_page/subpage/water/science/fmu/whanganui/index.html
index 4864d7f5..426d1135 100644
--- a/examples/mysite/title_page/subpage/water/science/fmu/whanganui/index.html
+++ b/examples/mysite/title_page/subpage/water/science/fmu/whanganui/index.html
@@ -233,7 +233,7 @@
 
         @media (max-width: 900px) {
             .dashboard-container {
-                max-width: 100%;
+                max-width: 90%;
 
                 gap: 0.35rem;
 
@@ -270,7 +270,7 @@
 
         /* Force Mobile Layout */
         body.force-mobile .dashboard-container {
-            max-width: 100% !important;
+            max-width: 90% !important;
 
             gap: 0.35rem !important;
 
@@ -1638,7 +1638,7 @@ <h2 id="sidebar-title">Details</h2>
         });
 
         // SIVO passes `views_data` directly to this template
-        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whanganui\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whanganui FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whanganui FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e77.8% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e57.14% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whanganui\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whanganui FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whanganui FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e77.8% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e57.14% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whanganui\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whanganui FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whanganui FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e77.8% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e57.14% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whanganui\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whanganui FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whanganui FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e77.8% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e57.14% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whanganui\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whanganui FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whanganui FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e85.7% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 6 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whanganui\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whanganui FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whanganui FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e85.7% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 6 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whanganui\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whanganui FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whanganui FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e85.7% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 6 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whanganui\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whanganui FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whanganui FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e85.7% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 6 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whanganui\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whanganui FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whanganui FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e90.9% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whanganui\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whanganui FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whanganui FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e90.9% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whanganui\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whanganui FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whanganui FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e90.9% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whanganui\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whanganui FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whanganui FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e90.9% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Nitrate-N.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whanganui\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whanganui FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e27.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whanganui\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whanganui FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e27.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whanganui\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whanganui FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e27.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whanganui\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whanganui FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e27.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whanganui\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whanganui FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whanganui\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whanganui FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whanganui\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whanganui FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whanganui\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whanganui FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whanganui\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whanganui FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e57.1% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e42.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 5 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e40.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whanganui\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whanganui FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e57.1% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e42.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 5 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e40.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whanganui\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whanganui FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e57.1% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e42.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 5 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e40.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whanganui\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whanganui FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e57.1% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e42.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 5 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e40.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
+        const viewsData = {"icon1":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconEcoli.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"E. \u003ci\u003ecoli\u003c/i\u003e","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whanganui\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whanganui FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whanganui FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e77.8% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e57.14% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whanganui\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whanganui FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whanganui FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e77.8% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e57.14% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whanganui\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whanganui FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whanganui FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e77.8% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e57.14% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"E. \u003ci\u003ecoli\u003c/i\u003e"},{"action_type":"tooltip","content":"\u003ch3\u003eE. \u003ci\u003ecoli\u003c/i\u003e\u003c/h3\u003e","title":"E. \u003ci\u003ecoli\u003c/i\u003e","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking *E. coli* in the Whanganui\n\n*E. coli* is a bacteria naturally found in the guts of humans, animals, and birds. Finding it in a waterway acts as a warning sign for faecal (poo) contamination and indicates that other disease-causing bugs may also be present. These bacteria typically wash into our rivers through wastewater discharges, farm animal waste, and stormwater runoff during heavy rain.\n\nWe regularly monitor *E. coli* levels year-round to track our environmental progress and help keep the community safe. The spatial map shows the current *E. coli* state grades across the Whanganui FMU. These A-to-E grades represent the estimated risk of sickness from faecal bacteria that might be in the water at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how *E. coli* is impacting the Whanganui FMU.\n","state_md":"# The Current State of *E. coli*\n\nWe evaluated the current state of *E. coli* at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure \u003cem\u003eE. coli\u003c/em\u003e by counting the living bacteria in a 100-millilitre (mL) water sample, reported as Most Probable Number (MPN).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-E health risk grade, experts use four different statistics:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The typical bacteria level on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e The highest bacteria level expected on a \"bad\" day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 260:\u003c/strong\u003e How often levels cross 260 per 100 mL, where illness risk begins to rise.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eExceedances over 540:\u003c/strong\u003e How often levels cross 540 per 100 mL, where swimming is no longer recommended.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass all four tests. If it scores poorly on even one, it receives that lowest grade overall.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #D55E00; color: white;\"\u003eE\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e11.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e77.8% (7)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.4% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e7.7% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e2.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e1.9% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #D55E00; color: white;\"\u003e73.1% (76)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for *E. coli*\n\nWe evaluated 15-year trends for *E. coli* at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if bacteria levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain washing animal waste into rivers\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because *E. coli* indicates a risk of illness, an \"improvement\" means the concentration of bacteria in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Bacteria levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Bacteria levels are consistently increasing, posing a higher risk to swimmers (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### *E. coli* Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eE. coli (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e14.29% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e57.14% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e28.57% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e40.91% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.73% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e36.36% (32)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_E coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_E. coli.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_E coli.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon2":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconSuspendedSediment.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Suspended sediment","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Suspended sediment","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whanganui\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whanganui FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whanganui FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e85.7% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 6 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whanganui\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whanganui FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whanganui FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e85.7% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 6 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whanganui\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whanganui FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whanganui FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e85.7% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 6 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Suspended sediment"},{"action_type":"tooltip","content":"\u003ch3\u003eSuspended sediment\u003c/h3\u003e","title":"Suspended sediment","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Suspended Sediment in the Whanganui\n\nSuspended sediment consists of tiny particles of clay, silt, and soil that wash into our waterways. These particles typically enter our rivers when natural or human-accelerated erosion wears away the land, and heavy rainfall washes the dirt directly into the river system. High levels of sediment make the water murky, which can harm aquatic life by clogging fish gills, smothering riverbed habitats, and blocking vital sunlight needed for plant growth.\n\nWe monitor suspended sediment by measuring visual clarity in rivers monthly to track our environmental progress and protect aquatic habitats. The spatial map shows the current visual clarity state grades across the Whanganui FMU. These A-to-D grades represent the overall ecological health and the impact that murky water has on aquatic life at each local monitoring site.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how suspended sediment is impacting the Whanganui FMU.\n","state_md":"# The Current State of Suspended Sediment\n\nWe evaluated the current state of suspended sediment at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists typically assess suspended sediment by measuring visual clarity, often using a tool known as a \u003cstrong\u003eBlack Disc\u003c/strong\u003e. This involves looking horizontally through the water to measure exactly how far away a black target remains visible. The further away the disc can be seen, the clearer the water.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e visual clarity calculated from data collected over a five-year period. This simply represents the typical water clarity on an average day. A site with a high median has clearer water and a healthier ecosystem, while a low median indicates murky water that harms fish and aquatic bugs.\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e14.3% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e85.7% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e20.3% (12)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e6.8% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e67.8% (40)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Suspended Sediment\n\nWe evaluated 15-year trends for suspended sediment at 6 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if water clarity is consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes\u2014like heavy rain that naturally washes more soil into the river\u2014and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. For suspended sediment and visual clarity, an \"improvement\" means the water is getting clearer and visibility is increasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Water clarity is consistently increasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Water clarity is consistently decreasing, posing a higher risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Suspended Sediment Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eVisual Clarity (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e100.0% (6)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e12.5% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.25% (9)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e76.25% (61)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Visual%20Clarity.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Visual Clarity.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon3":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconN.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Nitrogen","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Nitrogen","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whanganui\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whanganui FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whanganui FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e90.9% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whanganui\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whanganui FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whanganui FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e90.9% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whanganui\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whanganui FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whanganui FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e90.9% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Nitrogen"},{"action_type":"tooltip","content":"\u003ch3\u003eNitrogen\u003c/h3\u003e","title":"Nitrogen","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Nitrogen in the Whanganui\n\nNitrogen is a naturally occurring element and an essential nutrient for plant growth. However, when too much nitrogen enters our rivers and lakes, it can cause significant environmental problems. In this section, we specifically focus on two forms of nitrogen\u2014nitrate and ammoniacal nitrogen\u2014because at high concentrations, they are directly toxic to aquatic life.\n\n### Where Does It Come From?\nThese two forms of nitrogen enter our waterways in different ways:\n*   **Ammoniacal Nitrogen:** This form primarily reaches rivers through direct point-source discharges, such as treated wastewater or dairy shed effluent.\n*   **Nitrate Nitrogen:** This form is highly soluble and typically washes into waterways from the land. It leaches downward through the soil into groundwater and rivers, often coming from excess fertiliser and animal urine patches.\n\nWe regularly monitor these nitrogen levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current toxicity state grades for both nitrate and ammoniacal nitrogen across the Whanganui FMU.\n\n***\nExplore the spatial map, current state grades, and long-term trends to see how nitrogen toxicity is impacting the Whanganui FMU.\n","state_md":"# The Current State of Nitrogen Toxicity\n\nWe evaluated the current state of both nitrate and ammoniacal nitrogen at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of nitrogen in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for toxicity, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of nitrogen present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest nitrogen levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents high conservation value, where sensitive species are unlikely to be harmed. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where nitrogen levels are high enough to impact growth or approach acute toxicity (risk of death) for sensitive fish and aquatic insects.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e90.9% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e9.1% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e80.6% (87)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e13.9% (15)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e5.6% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Toxicity Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N Toxicity\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e87.2% (95)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e10.1% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e1.8% (2)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.9% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Nitrogen\n\nWe evaluated 15-year trends for nitrate and ammoniacal nitrogen at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if nitrogen levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because nitrogen can be toxic to aquatic life, an \"improvement\" means the concentration of nitrogen in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Nitrogen levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Nitrogen levels are consistently increasing, posing a higher toxic risk to aquatic life (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Ammoniacal Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eAmmoniacal-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e44.44% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e22.22% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e70.0% (63)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e15.56% (14)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e14.44% (13)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n\n### Nitrate Nitrogen Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eNitrate-N (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e56.52% (52)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e11.96% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e31.52% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Ammoniacal-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Nitrate-N.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Ammoniacal Nitrogen (NH4).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Nitrate Nitrogen (NO3).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Combined_Nitrogen.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon4":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconP.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Phosphorus","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Phosphorus","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whanganui\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whanganui FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e27.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whanganui\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whanganui FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e27.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whanganui\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whanganui FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e27.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Phosphorus"},{"action_type":"tooltip","content":"\u003ch3\u003ePhosphorus\u003c/h3\u003e","title":"Phosphorus","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Phosphorus in the Whanganui\n\nPhosphorus is a naturally occurring element and an essential nutrient for plant growth. While it usually attaches to soil, it can also dissolve in water. This dissolved form\u2014known as Dissolved Reactive Phosphorus (DRP)\u2014is easily absorbed by aquatic plants and algae.\n\n### Why It Matters\nToo much DRP in our rivers and lakes is a major problem. It acts as a super-fertiliser, fueling the rapid, uncontrolled growth of weeds and algal blooms. These blooms can choke aquatic life and cause long-term damage to the health of the entire waterbody.\n\n### Where Does It Come From?\nDRP enters our waterways through soil erosion, excess agricultural fertilisers, animal waste, and domestic wastewater discharges. Heavy rain often washes this nutrient off the land and directly into the river system.\n\nWe regularly monitor DRP levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current DRP state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how phosphorus is impacting the Whanganui FMU.\n","state_md":"# The Current State of Dissolved Reactive Phosphorus\n\nWe evaluated the current state of Dissolved Reactive Phosphorus (DRP) at 11 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists measure the concentration of DRP in the water in milligrams per litre (mg/L).\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts evaluate two different statistics calculated from data collected over a five-year period:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eMedian:\u003c/strong\u003e The middle value, representing the typical amount of DRP present on an average day.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e95th percentile:\u003c/strong\u003e A measure of the extremes, representing the highest DRP levels expected on a \"bad\" day.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for both of these statistics. The final grade is always determined by the worst-performing statistic.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents natural, healthy conditions where no adverse effects from phosphorus enrichment are expected. \u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where high DRP levels drive excessive algal growth and cause the loss of sensitive aquatic life.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e36.4% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e27.3% (3)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e17.4% (19)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e21.1% (23)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e33.0% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e28.4% (31)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Phosphorus\n\nWe evaluated 15-year trends for Dissolved Reactive Phosphorus (DRP) at 9 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if phosphorus levels are consistently changing over time. We use a 15-year timeframe to see past temporary weather spikes and uncover the true, long-term direction of water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess phosphorus drives excessive algal growth, an \"improvement\" means the concentration of DRP in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Phosphorus levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Phosphorus levels are consistently increasing, posing a higher risk of algal blooms (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Dissolved Reactive Phosphorus Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eDRP (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e11.11% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e88.89% (8)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e26.09% (24)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.83% (21)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e51.09% (47)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_DRP.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Dissolved Reactive Phosphorus.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_DRP.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon5":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconChlA.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Algae","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Algae","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whanganui\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whanganui FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whanganui\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whanganui FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whanganui\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whanganui FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Algae"},{"action_type":"tooltip","content":"\u003ch3\u003eAlgae\u003c/h3\u003e","title":"Algae","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Algae and Chlorophyll-a in the Whanganui\n\nAlgae are naturally occurring microscopic organisms that live in our waterways. In rivers and streams, they often attach to underwater surfaces (known as periphyton), while in lakes they float freely in the water (known as phytoplankton).\n\n### Why It Matters\nIn small amounts, algae provide a nutritious and essential food source for aquatic animals like fish and freshwater crayfish (k\u014dura). However, when algae grow rapidly out of control, they form \"blooms\" that cause significant problems. Thick algal mats can smother riverbeds, ruining habitats for aquatic insects. As these massive blooms die and decompose, they suck vital oxygen out of the water, which can choke and kill fish. Some types of algae, known as cyanobacteria, also produce toxins that are deadly to dogs and dangerous to humans.\n\n### Where Does It Come From?\nWhile algae are natural, rapid overgrowth is fueled by human activities. Blooms thrive when there are excess nutrients (like nitrogen and phosphorus) in the water, combined with warm temperatures, high sunlight, and low river flows that fail to flush the algae away.\n\nWe regularly monitor algae levels to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current state grades for algae and chlorophyll-a across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how algae is impacting the Whanganui FMU.\n","state_md":"# The Current State of Algae\n\nWe evaluated the current state of algae at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nBecause algae are tiny and difficult to count individually, scientists often measure chlorophyll-a instead. Chlorophyll-a is the green pigment that plants and algae use for photosynthesis. By measuring the concentration of this pigment in a water sample, scientists can accurately estimate the total amount of algae present at a monitoring site.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade for rivers, experts evaluate data collected over a multi-year period using a specific statistic:\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eThe 92nd Percentile:\u003c/strong\u003e For rivers, scientists calculate the 92nd percentile. This is a measure of the extremes, helping us understand exactly how severe the algal blooms get on a \"bad\" day, without the final grade being skewed by a single, rare spike.\u003c/li\u003e\n\u003c/ul\u003e\n\nA site must pass the test for this statistic to receive a good grade.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents a healthy, resilient ecosystem with rare blooms, indicating natural conditions.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents significant pollution, where regular or extended nuisance blooms smother the habitat and put aquatic life at high risk.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e100.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e64.3% (27)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e26.2% (11)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e7.1% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e2.4% (1)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Algae\n\nWe evaluated 15-year trends for algae and chlorophyll-a at 3 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the amount of algae is consistently changing over time. Because algae growth relies heavily on warm weather and low summer river flows, we use a 15-year timeframe to see past these temporary seasonal cycles. This long-term view helps uncover the true underlying direction of our water quality.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because excess algae harms aquatic life and can be toxic, an \"improvement\" means the amount of chlorophyll-a (algae) in the water is safely decreasing.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e Algae levels are consistently decreasing (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e Algae levels are consistently increasing, posing a higher risk to the ecosystem (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Algae (Chlorophyll-a) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eChlorophyll A (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e33.33% (1)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e66.67% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.33% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e22.22% (10)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e64.44% (29)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_Chlorophyll A.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_Chlorophyll A.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}},"icon6":{"svg_string":"\u003csvg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 100 100\"\u003e\u003cimage id=\"img_vis\" href=\"../../../../../assets/water/20221123_OrangaWai_IconAquaticLife.png\" x=\"12.5\" y=\"12.5\" width=\"75\" height=\"75\" preserveAspectRatio=\"xMidYMid meet\" opacity=\"1.0\" name=\"img_vis\"/\u003e\u003ccircle id=\"img_interact\" name=\" \" cx=\"50.0\" cy=\"50.0\" r=\"37.5\" fill=\"rgba(255,255,255,0.01)\"/\u003e\u003c/svg\u003e","echarts_data":[{"name":"img_vis","value":1,"tooltip":"Invertebrates","itemStyle":{"areaColor":"rgba(255,255,255,0.01)","borderColor":"transparent","borderWidth":3},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent"}}},{"name":" ","value":1,"tooltip":"Invertebrates","animation_class":"fade_pulse","fade_start_time_ms":0,"fade_duration_ms":5000,"itemStyle":{"areaColor":"transparent","borderColor":"#ccffcc","borderWidth":8,"opacity":0},"label":{"show":false},"emphasis":{"label":{"show":false},"itemStyle":{"areaColor":"transparent","shadowBlur":15,"shadowColor":"transparent","shadowOffsetX":0,"shadowOffsetY":0}}}],"actions_manifest":{"img_vis":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whanganui\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whanganui FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e57.1% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e42.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 5 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e40.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]," ":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whanganui\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whanganui FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e57.1% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e42.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 5 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e40.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}]},"overlays":{},"metadata":{"objects":[{"id":"img_vis","type":"image"},{"id":"img_interact","type":"circle"}]},"connections":[],"default_panel_position":"none","disable_panel":false,"panel_width":"90%","panel_height":"90%","panel_css":null,"disable_resizer":true,"disable_tooltips":false,"disable_zoom_controls":true,"lock_scroll_bounds":true,"presentation_order":null,"lock_zoom_out":true,"layout_size":"95%","mobile_layout_size":null,"starting_zoom":1.0,"lock_canvas":true,"render_mode":"canvas","enable_minimap":false,"enable_export":false,"fade_unselected":false,"theme":"light","enable_search":false,"enable_geocoder":false,"geocoder_intersection":null,"geocode_country_codes":null,"geocode_provider":"nominatim","geocode_api_key":null,"watermark":null,"enable_brush_selection":false,"title":null,"subtitle":null,"attribution":null,"enable_fullscreen":false,"enable_share":false,"enable_data_download":false,"enable_drawing_tools":false,"ambient_effect":null,"ambient_speed":1.0,"bounding_coords":[[0.0,0.0],[100.0,100.0]],"graphic":null,"border_image_url":null,"border_image_position":"all","border_image_width":"10%","border_image_opacity":1.0,"border_image_grayscale":false,"background_image_url":null,"background_image_opacity":1.0,"background_image_grayscale":false,"background_image_fade_in":false,"background_image_fade_pulse":false,"background_image_fade_start_time_ms":0,"background_image_fade_duration_ms":5000,"svg_background_image_url":null,"svg_background_image_opacity":1.0,"svg_background_image_grayscale":false,"svg_background_image_insert_after":null,"transparent_template_lines":false,"navigation_menu":null,"navigation_menu_position":"top-right","mappings":{"img_vis":{"id":"img_vis","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whanganui\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whanganui FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e57.1% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e42.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 5 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e40.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"rgba(255,255,255,0.01)","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":3,"border_color":"transparent","transparent_lines":null,"glow":false,"animation":null,"fade_in":false,"fade_pulse":false,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}," ":{"id":"img_interact","actions":[{"action_type":"a11y","role":"button","tabindex":"0","aria_label":"Invertebrates"},{"action_type":"tooltip","content":"\u003ch3\u003eInvertebrates\u003c/h3\u003e","title":"Invertebrates","panel_position":"none"},{"action_type":"callback","event_name":null,"payload":{"details_md":"# Tracking Macroinvertebrates in the Whanganui\n\nMacroinvertebrates are small animals without backbones\u2014such as insect larvae, snails, worms, and freshwater crayfish (k\u014dura)\u2014that live on or just below the riverbed. These tiny creatures play a central role in stream ecosystems by eating algae and dead leaves, and they serve as a vital food source for fish and native birds.\n\n### Why They Matter\nBecause some insects (like mayflies and stoneflies) need pristine water to survive, while others (like worms and snails) can tolerate heavy pollution, the mix of species found in a river acts as an excellent natural warning system for water health. Their populations decline when waterways suffer from organic pollution, nutrient enrichment, or lost habitats.\n\nWe regularly monitor macroinvertebrate communities to track our environmental progress and protect our freshwater ecosystems. The spatial map shows the current Macroinvertebrate Community Index (MCI) state grades across the Whanganui FMU.\n\n***\n\nExplore the spatial map, current state grades, and long-term trends to see how macroinvertebrates are faring in the Whanganui FMU.\n","state_md":"# The Current State of Macroinvertebrates\n\nWe evaluated the current state of macroinvertebrates at 7 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    How We Measure and Grade (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nScientists collect these small animals from the riverbed, usually once a year, and identify the different species present to calculate a score called the Macroinvertebrate Community Index (MCI). This index is based on the known sensitivity or tolerance of each species to pollution.\n\n\u003cbr\u003e\u003cbr\u003e\n\nTo calculate a reliable A-to-D ecological health grade, experts use the \u003cstrong\u003emedian\u003c/strong\u003e (middle) MCI score from data collected over a five-year period.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eBand A:\u003c/strong\u003e Represents pristine, healthy conditions where sensitive insects thrive, indicating almost no organic pollution or nutrient enrichment.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eBand D:\u003c/strong\u003e Represents severe pollution, where sensitive insects have been lost and the community is largely composed of hardy, pollution-tolerant species like snails and worms.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (MCI)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #3DB7E9; color: black;\"\u003eA\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #359B73; color: white;\"\u003eB\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #F0E442; color: black;\"\u003eC\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #E69F00; color: black;\"\u003eD\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e57.1% (4)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e42.9% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #3DB7E9; color: black;\"\u003e7.8% (6)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #359B73; color: white;\"\u003e32.5% (25)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #F0E442; color: black;\"\u003e46.8% (36)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #E69F00; color: black;\"\u003e13.0% (10)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","trend_md":"# Long-Term Trends for Macroinvertebrates\n\nWe evaluated 15-year trends for macroinvertebrates (using the MCI score) at 5 monitoring sites across the Whanganui FMU.\n\n\u003cdetails style=\"\n    border: 1px solid #d0d7de;\n    border-radius: 14px;\n    padding: 0.9rem 1.1rem;\n    margin: 1.2rem 0;\n    background: linear-gradient(to bottom, #ffffff, #f8fafc);\n    box-shadow: 0 3px 10px rgba(0,0,0,0.05);\n\"\u003e\n  \u003csummary style=\"\n      cursor: pointer;\n      font-weight: 700;\n      font-size: 1.08rem;\n      color: #1f2937;\n      outline: none;\n  \"\u003e\n    Understanding the Trend (click to expand)\n  \u003c/summary\u003e\n\n  \u003cdiv style=\"\n      margin-top: 1rem;\n      line-height: 1.7;\n      color: #374151;\n      font-size: 0.98rem;\n  \"\u003e\n\nTrends show us if the health of the aquatic insect community is consistently changing over time. We use a 15-year timeframe to see past temporary weather events\u2014like floods that wash away insects\u2014and uncover the true, long-term direction of ecological health.\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTrend Categories\u003c/strong\u003e\n\u003cbr\u003e\nTrends are grouped by how confident scientists are that a change is actually happening. Because a high MCI score means a healthier ecosystem, an \"improvement\" means the score is increasing over time.\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eImproving:\u003c/strong\u003e The MCI score is consistently increasing, showing ecological recovery (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely improving\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDegrading:\u003c/strong\u003e The MCI score is consistently decreasing, showing ecological decline (\u003cem\u003every likely\u003c/em\u003e or \u003cem\u003elikely degrading\u003c/em\u003e).\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIndeterminate:\u003c/strong\u003e There is not enough statistical evidence to confirm a direction.\u003c/li\u003e\n\u003c/ul\u003e\n\n  \u003c/div\u003e\n\u003c/details\u003e\n\n***\n\n### Macroinvertebrate (MCI) Trend Results in the Whanganui FMU\n\n\u003cdiv style=\"overflow-x: auto;\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; text-align: center;\"\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"text-align: left; padding: 8px; border-bottom: 2px solid #ddd;\"\u003eMacroinvertebrates (15-year trend)\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #2abeff; color: black;\"\u003eImproving\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #e6e600; color: black;\"\u003eIndeterminate\u003c/th\u003e\n      \u003cth style=\"padding: 8px; border-bottom: 2px solid #ddd; background-color: #ff6767; color: black;\"\u003eDegrading\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhanganui FMU\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e0.0% (0)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e60.0% (3)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e40.0% (2)\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd style=\"text-align: left; padding: 8px; border-bottom: 1px solid #ddd;\"\u003eWhole Region\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #2abeff; color: black;\"\u003e13.11% (8)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #e6e600; color: black;\"\u003e32.79% (20)\u003c/td\u003e\n      \u003ctd style=\"padding: 8px; border-bottom: 1px solid #ddd; background-color: #ff6767; color: black;\"\u003e54.1% (33)\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003c/div\u003e\n","state_how":"### How to Read the Site-specific State Charts below\n\nThe interactive charts display individual monitoring site metrics against the National Objectives Framework (NOF) bands.\n\n* **Site Order:** Sites are ranked from best performing at the top to most degraded at the bottom.\n* **NOF Grade Bands:** Node colors indicate the localized environmental band:\n* \u25cf Band A (Excellent) \ud83d\udd35 | \u25cf Band B (Good) \ud83d\udfe2| \u25cf Band C (Fair) \ud83d\udfe1\n* \u25cf Band D (Poor) \ud83d\udfe0\n\n\n\n### Interactive Controls\n\n\u003e **Switching Component Attributes:** Use the **dropdown menu** in the top-left corner of the chart to toggle between the individual metrics that define the overall grade (such as switching between *Median* and *95th Percentile* states).\n\nThe horizontal scale, site rankings, and color bands will update based on your selection. Hover over any site marker to view the precise recorded values.\n\n\u003ciframe src=\"results/Chart_MCI.html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","trend_how":"### How to Read the Site-specific Trend Charts below\n\nThe interactive charts display individual monitoring site metrics assessing changes in water quality variables over a 15-year period (2011\u20132025).\n\n* **Baseline Evaluation (0%):** The bold vertical line at **0** represents a stable state with no detected environmental change.\n* **Directional Vectors:** Lollipops extending to the **right** represent positive percentage increases per year, while lollipops extending to the **left** represent negative percentage decreases per year.\n* **Site Order:** Sites are categorized into core performance groups from most improving at the top to most degrading at the bottom. Within those groups, they are organized by magnitude of structural change.\n* **Trend Category Classifications:** Marker colors indicate the calculated confidence direction:\n* \u25cf **Improving** \ud83d\udd35 *(Water quality metrics are getting healthier)*\n* \u25cf **Indeterminate** \ud83d\udfe1 *(Data variations show no clear structural trend direction)*\n* \u25cf **Degrading** \ud83d\udd34 *(Water quality metrics are deteriorating)*\n\n\n\n\u003e *Note: For nutrients and bacteria (E.*coli*, Phosphorus, Nitrogen), a negative vector extending to the left represents an **Improving** trend (pollution is dropping). For ecosystem health variables (Visual Clarity, MCI), a positive vector extending to the right represents an **Improving** trend.*\n\n---\n\n### Interactive Controls\n\n\u003e **Contextual Insights:** Hover over any localized site circle marker to see a deep dive of the asset parameters, including the precise statistical change velocity (`% / year`) alongside the original confidence descriptor assigned during analytical evaluation.\n\n\n\n\u003ciframe src=\"results/Trend_Chart_MCI (Macroinvertebrate Community Index).html\" width=\"100%\" height=\"450px\" style=\"border:none; border-radius:10px;\"\u003e\u003c/iframe\u003e\n","map_html":"\u003cdiv id='map_container' style='background:#f1f5f9; width:100%; height:100%; min-height:600px; display:flex; align-items:center; justify-content:center; border-radius:10px;'\u003e\u003ciframe src='results/Map_MCI.html' width='100%' height='100%' style='border:none; border-radius:10px;'\u003e\u003c/iframe\u003e\u003c/div\u003e"}}],"context_menu":null,"open_by_default":false,"panel_position":null,"panel_css":null,"draggable":false,"theme":{"animation_duration_ms":1000,"color":"transparent","hover_color":"transparent","hover_image":null,"fill_gradient":null,"fill_pattern":null,"border_width":8,"border_color":"#ccffcc","transparent_lines":null,"glow":true,"animation":null,"fade_in":false,"fade_pulse":true,"fade_start_time_ms":0,"fade_duration_ms":5000,"morph_to_path":null,"morph_duration_ms":1000,"morph_delay_ms":0,"morph_easing":"ease-in-out","morph_iterations":1.0,"filter":null,"clip_path":null,"mask":null,"transform":null,"odometer_value":null,"odometer_duration_ms":2000,"odometer_format":null}}}}};
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