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Optimal Placement of Conservation Practices Using Genetic Algorithm with SWAT AgEcon
Jha, Manoj K.; Rabotyagov, Sergey S.; Gassman, Philip W..
The effectiveness of conservation practices depends on their placement on the fields within the watershed. Cost-effective placement of these practices for maximum water quality benefits on each field requires comparing a very large number of possible land-use scenarios. To address this problem, we combine the tools of evolutionary algorithm with the Soil and Water Assessment Tool (SWAT) model and cost data to develop a trade-off frontier of least cost of achieving nutrient reductions and the corresponding locations of conservation practices. This approach was applied to the Raccoon River Watershed, which drains about 9,400 km2 of an intensive agriculture region in west-central Iowa. Applying genetic algorithm to the calibrated SWAT modeling setup produced...
Tipo: Working or Discussion Paper Palavras-chave: Genetic algorithm; Nutrient calibration; Raccoon River Watershed; SWAT.; Environmental Economics and Policy; Land Economics/Use.
Ano: 2009 URL: http://purl.umn.edu/52241
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Hydrologic Simulations of the Maquoketa River Watershed Using SWAT AgEcon
Jha, Manoj K..
This paper describes the application of the Soil and Water Assessment Tool (SWAT) model to the Maquoketa River watershed, located in northeast Iowa. The inputs to the model were obtained from the Environmental Protection Agency’s geographic information/database system called Better Assessment Science Integrating Point and Nonpoint Sources (BASINS). Climatic data from six weather stations located in and around the watershed, and measured streamflow data from a U.S. Geological Survey gage station at the watershed outlet were used in the sensitivity analysis of SWAT model parameters as well as its calibration and validation for watershed hydrology and streamflow. A sensitivity analysis was performed using an influence coefficient method to evaluate surface...
Tipo: Working or Discussion Paper Palavras-chave: Calibration and validation; Hydrologic simulation; Sensitivity analysis; SWAT.; Environmental Economics and Policy.
Ano: 2009 URL: http://purl.umn.edu/51123
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