SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Optimal placement of conservation practices using genetic algorithm with SWAT 
Authors:Jha, M., S. Rabotyagov and P.W. Gassman 
Journal:International Agricultural Engineering Journal 
Volume (Issue):18(1-2) 
Article ID: 
URL (non-DOI journals):https://elibrary.asabe.org/abstract.asp?aid=24288 
Broad Application Category:hydrologic and pollutant 
Primary Application Category:BMP and/or cropping system assessment 
Secondary Application Category:nutrient cycling/loss and transport 
Watershed Description:9,400 km^2 Raccoon River, a tributary of the Des Moines River which drains parts of 17 counties in west central Iowa, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments:The URL provided above links to a version of the study that was published as part of a conference proceedings (ASABE 21st Century Watershed Technology: Improving Water Quality and Environment: https://elibrary.asabe.org/conference.asp?confid=iwqe2010). A working paper version of the study can also be accessed at https://www.card.iastate.edu/publications/dbs/pdffiles/09wp496.pdf. As of Nov. 22, 2023, the journal article version of the study is not accessible at the journal website (website is not working correctly). 
Keywords:Raccoon river watershed, SWAT, multiobjective optimization algorithm, nutrient calibration.