SWIFT - Small Watershed Nutrient Forecasting Tool
SWIFT (Small Watershed Nutrient Forecasting Tool), a component of the USDA/ARS Soil and Water Hub, is a web-based tool that allows the rapid estimation of sediment and nutrient loads from small watersheds for a given ecoregion in the US.
SWIFT can be used to estimate loads given relatively common information such as watershed size, landuse, and location. Estimated loads are provided as a distribution to illustrate the relative uncertainty inherent in the methods used. The web interface supports charting of precipitation, runoff, water yield, sediment, phosphorus, and nitrogen forecasts by ecoregion, watershed, and landuse (rangeland, cropland, urban, forest, pasture/hay) across the contiguous United States as annual averages.
SWIFT is based on the concept of export coefficients and delivery ratios. SWIFT uses export coefficients for major landuse categories in the US derived from SWAT (Soil and Water Assessment Tool) predictions. Delivery components are based on data derived from the CEAP (Conservation Effects and Assessment Project).
Resources in this dataset:
Resource Title: Website Pointer to SWIFT - Small Watershed nutrIent Forecasting Tool.
File Name: Web Page, url: https://swift.brc.tamus.edu/Home/About
The web dashboard interface for charting of precipitation, runoff, water yield, sediment, phosphorus, and nitrogen forecasts by ecoregion, watershed, and landuse (rangeland, cropland, urban, forest, pasture/hay) across the contiguous United States as annual averages.
Funding
Agricultural Research Service
History
Data contact name
White, MikeData contact email
mike.white@ars.usda.govPublisher
USDA Agricultural Research ServiceTheme
- Not specified
Geographic Coverage
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Contiguous United StatesISO Topic Category
- biota
- environment
- geoscientificInformation
- inlandWaters
National Agricultural Library Thesaurus terms
sediments; nutrients; landscapes; watersheds; groundwater; soil; land use; soil quality; conservation practices; runoff; pollutants; models; soil erosion models; simulation models; water reservoirs; water quality; Internet; pollution load; United States; nitrogen; phosphorus; prediction; cost effectiveness; hydrologic models; computer software; USDA; ecoregions; uncertainty; Soil and Water Assessment Tool model; Conservation Effects Assessment Project; water yield; rangelands; cropland; forests; pastures; urbanizationOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
ARS National Program Number
- 211
- 212
- 215
Pending citation
- No
Public Access Level
- Public