Upper Washita River Experimental Watersheds: Physiography Data

Moriasi, D.N. and Starks, P.J. and Steiner, J.L. and et al, . (2014) Upper Washita River Experimental Watersheds: Physiography Data. Journal of Environmental Quality, 43. pp. 1298-1309.

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Physiographic data such as digital elevation models (DEMs), soils, geology, stream channel network characteristics, channel stability, and land use data are essential for understanding the complex hydrologic cycle and chemical transport processes of any given study area. We describe the physiographic data available in the Little Washita River Experimental Watershed (LWREW) and Fort Cobb Reservoir Experimental Watershed (FCREW) in Oklahoma. ecifically, we describe (i) available raw and post-processed DEM products (, (ii) available soils data ( Watershed_2005-2012/GIS- ataSets/Physiography/Soils/ and Other/GIS_Datasets/Physiography/Soils) and associated error analysis based on limited measured data, (iii) geologic formations in the LWREW and FCREW ( Reservoir_Watershed_2005-2012/GIS-DataSets/Physiography/ Geology/FCREW_Geology/ and Physiography/Geology/), and (iv) available rapid geomorphic assessment measurements Reservoir_Watershed_2005-2012/GIS-DataSets/Physiography/ RGA/) and their uses. Data collection is a collaborative effort among USGS, NRCS, and ARS. These data sets have been used for several research applications by USDA–ARS scientists and researchers from other institutions and agencies. Plans for detailed geomorphic assessment of stream channel networks in the FCREW are underway in collaboration with Oklahoma State University in Stillwater. The collected data will enable updating of the channel stability stage condition since there have been several major rainfall events in the watershed since the last geomorphic assessment.

Item Type: Article
Uncontrolled Keywords: DEM, digital elevation model; FCREW, Fort Cobb Reservoir Experimental Watershed; LiDAR, light distancing and ranging; LWREW, Little Washita River Experimental Watershed; RGA, rapid geomorphic assessment; SMAF, soil management assessment framework; SWAT, Soil and Water Assessment Tool.
Author Affiliation: D.N. Moriasi, P.J. Starks, J.L. Steiner, and J.A. Guzman, USDA–ARS Grazinglands Research Lab., 7207 W. Cheyenne St., El Reno, OK 73036; P.B. Allen and J.W. Naney,retired, USDA–ARS. Assigned to Associate Editor Mark Nearing.
Subjects: Social Sciences
Divisions: General
Depositing User: Mr Daneti Raju
Date Deposited: 10 Aug 2015 05:45
Last Modified: 10 Aug 2015 05:45
Official URL: http://dx.doi.org/10.2134/jeq2013.08.0337
URI: http://eprints.icrisat.ac.in/id/eprint/13439

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