High spatial resolution soil data for watershed modeling: 2. Assessing impacts on watershed hydrologic response

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dc.contributor.author Sheshukov, Aleksey Y.
dc.contributor.author Daggupati, Prasad
dc.contributor.author Douglas-Mankin, Kyle R.
dc.date.accessioned 2013-03-28T18:20:20Z
dc.date.available 2013-03-28T18:20:20Z
dc.date.issued 2011-01-01
dc.identifier.uri http://hdl.handle.net/2097/15424
dc.description.abstract Spatial resolution of soil datasets used in watershed modeling is known to affect simulated hydrological response. Two databases, the Soil Survey Geographic (SSURGO) and the State Soil Geographic (STATSGO), provide publicly available soil datasets for hydrologic modeling of watersheds in the U.S. This study evaluated three soil representations using the Soil and Water Assessment Tool (SWAT) model to simulate hydrologic response in the Black Kettle Creek Watershed in Kansas, U.S.A.: SWAT using either 1) STATSGO data, or 2) SSURGO data, or 3) a third HYBRID model that used STATSGO soil data with the more refined SSURGO spatial distribution. The SSURGO-ArcSWAT utility was used to facilitate development of detailed soil data for SWAT modeling projects. The SWAT model with STATSGO data produced the greatest surface runoff and streamflows among the three models, especially during higher-rainfall events, in part due to overrepresentation of hydrologic group C and D soils. The SWAT model with SSURGO data produced the best calibration statistics, and exhibited the least flashy surface runoff behavior. The model with HYBRID soil data exhibited lower percentage bias and improved Nash-Sutcliffe model efficiency compared to the model with STATSGO soil data, and it was attributed to increased spatial resolution of hydrologic response units (HRUs) inherited from the SSURGO soil dataset. Calibration results and hydrologic impact may vary in other areas of the United States and in the world, but benefits of using SSURGO soil dataset are expected to come from both greater resolution of soil property data and a greater number of HRUs. en_US
dc.language.iso en_US en_US
dc.relation.uri http://www.asciencejournal.net/asj/index.php/NES/article/view/313 en_US
dc.rights This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.uri http://rightsstatements.org/vocab/InC/1.0/
dc.subject Hydrologic Modeling en_US
dc.subject SSURGO en_US
dc.subject STATSGO en_US
dc.subject SWAT en_US
dc.title High spatial resolution soil data for watershed modeling: 2. Assessing impacts on watershed hydrologic response en_US
dc.type Article (publisher version) en_US
dc.date.published 2011 en_US
dc.citation.epage 41 en_US
dc.citation.issue 2 en_US
dc.citation.jtitle Journal of Natural and Environmental Sciences en_US
dc.citation.spage 32 en_US
dc.citation.volume 2 en_US
dc.contributor.authoreid ashesh en_US
dc.contributor.authoreid krdm en_US


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This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). Except where otherwise noted, the use of this item is bound by the following: This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

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