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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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