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Effect of Watershed Subdivision on SWAT Flow, Sediment, and Nutrient Predictions

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Abstract

The size, scale, and number of subwatersheds can affect a watershed modeling process and subsequent results. The objective of this study was to determine the appropriate level of subwatershed division for simulating sediment yield. The Soil and Water Assessment Tool (SWAT) model with a geographic information system interface (AVSWAT) was applied to four Iowa watersheds that varied greatly in drainage area. Annual output was analyzed from each simulation, which was executed for 30 years using climatic data representing the 1970 to 2000 period. The optimal threshold subwatershed size of the total drainage area to adequately predict sediment yield was found to be around 3 percent. Decreasing the size of subwatersheds beyond this level does not significantly affect the computed sediment yield. This threshold subwatershed size can be used to optimize SWAT input data preparation requirements and simplify the interpretation of results without compromising simulation accuracy.

Suggested Citation

  • Manoj Jha & Philip W. Gassman & Silvia Secchi & Roy Gu & Jeffrey G. Arnold, 2002. "Effect of Watershed Subdivision on SWAT Flow, Sediment, and Nutrient Predictions," Center for Agricultural and Rural Development (CARD) Publications 02-wp315, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:02-wp315
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    Cited by:

    1. Kimberly Artita & Prakash Kaini & John Nicklow, 2013. "Examining the Possibilities: Generating Alternative Watershed-Scale BMP Designs with Evolutionary Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 3849-3863, September.
    2. Hans Thodsen & Csilla Farkas & Jaroslaw Chormanski & Dennis Trolle & Gitte Blicher-Mathiesen & Ruth Grant & Alexander Engebretsen & Ignacy Kardel & Hans Estrup Andersen, 2017. "Modelling Nutrient Load Changes from Fertilizer Application Scenarios in Six Catchments around the Baltic Sea," Agriculture, MDPI, vol. 7(5), pages 1-17, May.
    3. Manish Kumar Goyal & Venkatesh K. Panchariya & Ashutosh Sharma & Vishal Singh, 2018. "Comparative Assessment of SWAT Model Performance in two Distinct Catchments under Various DEM Scenarios of Varying Resolution, Sources and Resampling Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 805-825, January.
    4. Pushpa Tuppad & Narayanan Kannan & Raghavan Srinivasan & Colleen Rossi & Jeffrey Arnold, 2010. "Simulation of Agricultural Management Alternatives for Watershed Protection," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3115-3144, September.
    5. Pengwei Qiao & Mei Lei & Guanghui Guo & Jun Yang & Xiaoyong Zhou & Tongbin Chen, 2017. "Quantitative Analysis of the Factors Influencing Soil Heavy Metal Lateral Migration in Rainfalls Based on Geographical Detector Software: A Case Study in Huanjiang County, China," Sustainability, MDPI, vol. 9(7), pages 1-13, July.
    6. Junyu Qi & Sheng Li & Qi Yang & Zisheng Xing & Fan-Rui Meng, 2017. "SWAT Setup with Long-Term Detailed Landuse and Management Records and Modification for a Micro-Watershed Influenced by Freeze-Thaw Cycles," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3953-3974, September.

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