NLET (National Load Estimating Tool), a component of the USDA/ARS Soil and Water Hub, is a web-based tool for estimating pollutant loads in watersheds across the contiguous United States. This tool helps visualize the effects of land use patterns, cultivated crops, and conservation practices through graphical representation. Visualizations illustrate baseline and scenario land-use, crops, conservation, runoff, sediment, nitrogen, and phosphorus, and load differences at 50th percentile.
NLET implements an export coefficient approach for predicting the pollutant loads. NLET also addresses the need for a user-friendly, reliable and cost-effective watershed modeling tool.
NLET utilizes the D3.js library for creating an open-source JavaScript and data-driven charts, as well as Mapbox and OpenStreetMap for the Leaflet library, another open-source JavaScript library used for displaying the locations of Hydrologic Unit Catalog (HUC).
- Website Pointer to NLET - National Load Estimating Tool html
The web dashboard interface for estimating pollutant loads in watersheds...
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Field | Value |
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Tags | |
Modified | 2019-08-05 |
Release Date | 2018-04-18 |
Identifier | faeca3af-b1e6-4ac2-b710-afee24cf0f76 |
Spatial / Geographical Coverage Area | POLYGON ((-95.393066704273 49.390718622262, -122.99072295427 49.046272144223, -124.39697295427 47.880743391454, -124.74853545427 42.562524148417, -122.81494170427 37.589572543393, -119.12353545427 33.29533705186, -116.31103545427 32.260816853318, -114.55322295427 32.705654921671, -110.68603545427 31.214370510697, -108.40087920427 31.214370510697, -107.52197295427 31.813788042556, -106.64306670427 31.813788042556, -103.12744170427 29.086579846985, -102.07275420427 29.699190146047, -100.13916045427 28.624713962673, -97.678222954273 25.494524269057, -96.623535454273 28.160807105531, -94.689941704273 29.086579846985, -91.701660454273 29.546383858427, -90.119629204273 28.93285262998, -89.240722954273 30.004105722576, -86.604004204273 30.156213563649, -84.143066704273 29.851764343352, -82.385254204273 28.470304068247, -81.154785454273 25.653084153224, -80.275879204273 25.653084153224, -79.748535454273 26.757059094238, -81.330566704273 30.45972578952, -80.803222954273 31.664294451237, -75.529785454273 35.184287601126, -74.123535454273 39.784622524538, -72.717285454273 40.989576410551, -70.256347954273 41.780872961995, -70.256347954273 43.716860745734, -67.268066704273 44.599596818623, -67.443847954273 47.048918724375, -69.025879204273 47.525858859652, -70.080566704273 46.203916132075, -71.311035454273 45.59226206518, -74.475097954273 45.098086535875, -76.232910454273 44.22289853526, -78.869629204273 43.843774374786, -79.221191704273 42.691859658448, -82.736816704273 41.518177644287, -82.209472954273 43.334503843965, -83.615722954273 46.082124300382, -84.670410454273 46.92901151486, -89.768066704273 47.880743391454)) |
Publisher | USDA Agricultural Research Service |
Spatial / Geographical Coverage Location | Contiguous United States |
License | |
Contact Name | White, Mike |
Contact Email | |
Public Access Level | Public |
Program Code | 005:040 - Department of Agriculture - National Research |
Bureau Code | 005:18 - Agricultural Research Service |