SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Runoff simulated from Goodwin Creek watershed using SWAT 
Authors:Bingner, R. L 
Journal:Transactions of the ASAE 
Volume (Issue):39(1) 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:multi-site calibration or testing approach 
Secondary Application Category:hydrologic assessment 
Watershed Description:21.3 km^2 Goodwin Creek, located in the Bluff Hills region of north central Mississippi, U.S. 
Calibration Summary: 
Validation Summary:annual (1982-91); 140 r2 values by year & subwatershed; majority > .90 
General Comments:Intensive validation of SWAT for 14 subwatersheds; r2 values are reported by year (1982-91) and subwatershed. 
Abstract:Goodwin Creek Watershed (GCW), located in northern Mississippi, was simulated for 10 years using a deterministic simulation model, SWAT (Soil and Water Assessment Tool). GCW contains 14 instream measuring stations for runoff. Each measuring station represented an outlet of one or more nested subbasins, which were each simulated separately and routed to each outlet using SWAT. Each subbasin was described using the GRASS geographic information system, integrated with SWAT, to determine input parameters. Storm event rainfall was measured individually from one raingauge for each subbasin. Results show that simulations using SWAT predicted the relative trends of runoff on a daily and annual basis from multiple subbasins, except for a completely wooded subbasin. Using GCW, this study has shown that SWAT has the capability of adequately simulating the effects on runoff from the temporal and spatial variability of watershed characteristics. Accurately simulating runoff improves the prediction of the movement of chemicals, nutrients, and sediment. 
Keywords:Watershed; Deterministic model; Simulation model; Rain; Prediction; Runoff; Numerical simulation; Geographic information system; Storm; Rain water; Runoff water; Mississippi; Cultivated soil; Grassland soil; Forest soil; Case study; Regional study; Model study; United States; North America; America; Hydrology; Applied mathematics; Modeling; Subtropical zone