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

dc.citation.epage41en_US
dc.citation.issue2en_US
dc.citation.jtitleJournal of Natural and Environmental Sciencesen_US
dc.citation.spage32en_US
dc.citation.volume2en_US
dc.contributor.authorSheshukov, Aleksey Y.
dc.contributor.authorDaggupati, Prasad
dc.contributor.authorDouglas-Mankin, Kyle R.
dc.contributor.authoreidasheshen_US
dc.contributor.authoreidkrdmen_US
dc.date.accessioned2013-03-28T18:20:20Z
dc.date.available2013-03-28T18:20:20Z
dc.date.issued2011-01-01
dc.date.published2011en_US
dc.description.abstractSpatial 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.identifier.urihttp://hdl.handle.net/2097/15424
dc.language.isoen_USen_US
dc.relation.urihttp://www.asciencejournal.net/asj/index.php/NES/article/view/313en_US
dc.rightsThis 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.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectHydrologic Modelingen_US
dc.subjectSSURGOen_US
dc.subjectSTATSGOen_US
dc.subjectSWATen_US
dc.titleHigh spatial resolution soil data for watershed modeling: 2. Assessing impacts on watershed hydrologic responseen_US
dc.typeArticle (publisher version)en_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SheshukovJofNatEnviroSci2011.pdf
Size:
1.13 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.62 KB
Format:
Item-specific license agreed upon to submission
Description: