SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Advances in the application of the SWAT model for water resources management 
Authors:Jayakrishnan, R., R. Srinivasan, C. Santhi, and J.G. Arnold 
Journal:Hydrological Processes 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:climate data effects 
Secondary Application Category:input effects 
Watershed Description:Continental U.S.; 4 watersheds in Texas, U.S.: 863 km^2 Big Sandy Creek, 196 km^2 Walnut Creek, 1883 km^2 San Bernard River, and 2227 km^2 Village Creek; 3050 km^2 Sondu River, which is located in Kenya and drains into Lake Victoria 
Calibration Summary:Monthly (1979-88) E value range for three Sondu Basin scenarios: -.72 to -.69 
Validation Summary:Monthly (1995-99) E value ranges for 4 Texas watersheds (uncalibrated): raingauge = -7.42 - .22 NEXRAD = -.75 - .59 --------------------------- Monthly (1989-97) E value range for three Sondu Basin scenarios: -.08 to .10 
General Comments:Total estimated sediment and nitrate delivered to streams with SWAT (within HUMUS) are shown in two maps showing laodings by 8-digit watersheds. 4x4 km Hydrologic Rainfall Analysis Project (HRAP) grids served as the subbasins for the Texas watershed applications. The grid map was first developed in ARC/INFO and then ported to GRASS. NEXRAD WSR-88D hourly rainfall were input into the model for each HRAP GRID. The flow results obtained with the NEXRAD data were better than those obtained with raingauge inputs. Three dairy scenarios were performed for the Sondu Basin: baseline (traditional cattle), unimproved forage/ minimal adoption of tecnology, & varying adoption levels of modern technology. Simulate means were reasonable but E values were poor; the statistics reflect the lack of resolution available in the DEM, precipitation, and soil data, and the need for more detailed calibration efforts. The results are considered reflective of a first attempt to apply the model to African conditions. 
Keywords:hydrology; basin-scale modelling; distributed modelling; streamflow; SWAT; HUMUS; WSR-88D; water quality