Chapter
Apr 26, 2012
A Comparison of a SWAT Model for the Cannonsville Watershed with and without Variable Source Area Hydrology
Publication: World Environmental and Water Resources Congress 2009: Great Rivers
Abstract
In this study, two different versions of the Soil and Water Assessment Tool (SWAT) are used to simulate the Cannonsville Watershed. These versions are referred to as SWAT_TS and SWAT_VSA. The SWAT - VSA model distributes overland flow in ways that are consistent with variable source area hydrology, while the SWAT_TS model does not. Since many water quality models, such as SWAT, use some form of the curve number equation to predict storm runoff, these models may fail to accurately describe the effects of variable source areas (VSAs), which are mostly important in rural, humid areas, such as upstate New York. These two models are compared by calibrating each for flow, phosphorous and sediment against measured data.
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Information
Published In
World Environmental and Water Resources Congress 2009: Great Rivers
Pages: 1 - 5
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Business management
- Comparative studies
- Decision making
- Decision support systems
- Engineering fundamentals
- Environmental engineering
- Hydrologic engineering
- Hydrologic models
- Hydrology
- Methodology (by type)
- Model accuracy
- Models (by type)
- Practice and Profession
- Research methods (by type)
- River engineering
- River systems
- Simulation models
- Water and water resources
- Water quality
- Water treatment
- Watersheds
Authors
Affiliations
Josh Woodbury
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA
Christine A. Shoemaker
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA
Dillon Cowan
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA
Zach Easton
Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA
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