Development of a Cropland Management Dataset to Support U.S. Swat Assessments1. (18th December 2015)

• Record Type: Journal Article
• Authors: White, Michael; Gambone, Marilyn; Yen, Haw; Daggupati, Prasad; Bieger, Katrin; Deb, Debjani; Arnold, Jeff
• Is Part Of: Journal of the American Water Resources Association. Volume 52:Number 1(2016:Feb.)
• Page Start: 269
• Page End: 274
• Publication Date: 2015-12-18
• Subjects: Soil and Water Assessment Tool -- management -- water quality -- agriculture; Water-supply -- Periodicals; Hydrology -- Periodicals; Water resources development -- Periodicals; Water resources development -- Environmental aspects -- Periodicals; 333.9100973
• DOI: 10.1111/1752-1688.12384
• Languages: English
• ISSNs: 1093-474X

Abstract

Abstract: The Soil and Water Assessment Tool (SWAT) is widely used in the United States (U.S.) to simulate hydrology and water quality simulation. Process‐based models like SWAT require a great deal of data to accurately represent the natural world, including topography, land use, soils, weather, and management. With the exception of management, all these data are available nationally from multiple sources. To date, credible SWAT studies in the U.S. have assembled suitable management data (operation scheduling, fertilization application rates, and plant growth parameterization). In this research, we develop a national management database for SWAT using existing U.S. Department of Agriculture data sources. These data are compatible with existing SWAT interfaces and are relatively easy to use. Although management data from local sources is preferred, these data are not always available. This work is intended to fill this void with more reasonable management data than the existing defaults. This national database covers all major cultivated crops and should facilitate improved SWAT applications in the U.S. These data were tested in two case studies and found to produce satisfactory SWAT predictions. The database developed in this research is freely available on the web.