Draft Lakes Indicator - Pelagic Score (Southeast and Midwest Blueprint Indicator)

Name: Draft Lakes Indicator - Pelagic Score (Southeast and Midwest Blueprint Indicator)
Creator: U.S. Fish & Wildlife Service
License: 暂无描述

US Fish and Wildlife Service Open Data2026-03-28 收录

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Upstream watershed condition is very important in determining the nutrient, sediment, and contaminant loads entering a lake. All developed and agricultural land cover categories (disturbance) were added to quantify the amount of disturbed landcover that may negatively affect water quality entering the lake. 1. Assign the amount of disturbance in the contributing watershed: <ul><li>a. Join the attribute table “Archetypes_rawdata_2023-10-12.csv” (LaPierre et al. 2023) to the LAGOS Lakes dataset.</li><li>b. Eliminate any lakes that do not have a valid watershed value (removes 3253 or 0.7 % of lakes) </li><li>c. Add the upstream watershed amounts of agricultural and developed landcover “ws_nlcd2016_totalag_pct” and “ws_nlcd2016_totaldev_pct” to get “totdev_totag”</li><li>d. Classify lake water quality based on the Midwest Glacial Lakes Partnership thresholds for watershed landcover composition and convert to raster: z</li><li> 3 = if percent developed + percent ag in the watershed is <= 25 </li><li> 2 = if percent developed + percent ag in the watershed is >25 and <=60 </li><li> 1 = if percent developed + percent ag in the watershed is > 60 </li></ul>4. Using results from above, convert vector to raster to get:<ul><li>a. the whole lake class of contributing watershed condition.</li></ul>7. Clean up errant pixels caused by non-overlapping LAGOS and NLCD open water using the condition: If the final score is NULL but there is an open water class value, then assign that value to the pixel, otherwise, keep the existing value.

上游流域状况是决定入湖营养盐、沉积物与污染物负荷的核心影响因素。本研究将所有开发类与农业类土地覆被类别（即干扰因子）纳入统计范畴，以量化可能对入湖水质产生负面影响的受干扰土地覆被规模。 1. 赋值汇水流域的干扰程度： a. 将属性表"Archetypes_rawdata_2023-10-12.csv"（LaPierre等人，2023）与LAGOS湖泊数据集进行属性关联。 b. 剔除所有无有效流域数据的湖泊（共移除3253个湖泊，占总湖泊数的0.7%）。 c. 将上游流域的农业土地覆被占比"ws_nlcd2016_totalag_pct"与开发类土地覆被占比"ws_nlcd2016_totaldev_pct"相加，得到综合指标"totdev_totag"。 d. 基于中西部冰川湖泊合作组织（Midwest Glacial Lakes Partnership）提出的流域土地覆被组成阈值，对湖泊汇水流域状况进行分级，并转换为栅格数据： - 3级：流域内开发类占比与农业类占比之和≤25 - 2级：流域内开发类占比与农业类占比之和＞25且≤60 - 1级：流域内开发类占比与农业类占比之和＞60 4. 基于上述处理结果，将矢量数据转换为栅格数据，以获取： a. 汇水流域状况的全湖泊分级结果。 7. 针对因LAGOS数据集与NLCD开阔水域图层不重叠产生的异常像素，按照以下规则进行修复：若最终分级值为空但存在开阔水域类别值，则将该类别值赋值给对应像素；否则保留原有像素值。

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U.S. Fish & Wildlife Service

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