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	Provedor de dados 31 (2) Autor Gassman, Philip W. (2) Jha, Manoj K. (2) Arnold, Jeffrey G. (1) Rabotyagov, Sergey S. (1) Palavra-chave Raccoon River Watershed (2) Calibration (1) Environmental Economics and Policy (1) Genetic algorithm (1) Land Economics/Use (1) Management practices (1) Nutrient calibration (1) Resource /Energy Economics and Policy (1) SWAT (1) SWAT. (1) Mais... Tipo do documento Working or Discussion Paper (2) Ano 2009 (1) 2006 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Water Quality Modeling for the Raccoon River Watershed Using SWAT 31 Jha, Manoj K.; Arnold, Jeffrey G.; Gassman, Philip W.. The Raccoon River Watershed (RRW) in West-Central Iowa has been recognized as exporting some of the highest nitrate-nitrogen loadings in the United States and is a major source of sediment and other nutrient loadings. An integrated modeling framework has been constructed for the RRW that consists of the Soil and Water Assessment Tool (SWAT) model, the interactive SWAT (i_SWAT) software package, Load Estimator (LOADEST) computer program, and other supporting software and databases. The simulation framework includes detailed land use and management data such as different crop rotations and an array of nutrient and tillage management schemes, derived from the U.S. Department of Agriculture's National Resources Inventory databases and other sources. This paper... Tipo: Working or Discussion Paper Palavras-chave: Calibration; Management practices; Raccoon River Watershed; SWAT; Resource /Energy Economics and Policy. Ano: 2006 URL: http://purl.umn.edu/18455 Optimal Placement of Conservation Practices Using Genetic Algorithm with SWAT 31 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 Registros recuperados: 2 Primeira ... 1 ... Última

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