Reservoir Sedimentation Rates in the Little Washita River Experimental Watershed, Oklahoma: Measurement and Controlling Factors. (13th June 2018)

• Record Type: Journal Article
• Authors: Moriasi, Daniel N.; Steiner, Jean L.; Duke, Sara E.; Starks, Patrick J.; Verser, Alan J.
• Is Part Of: Journal of the American Water Resources Association. Volume 54:Number 5(2018:Oct.)
• Page Start: 1011
• Page End: 1023
• Publication Date: 2018-06-13
• Subjects: flood‐retarding structures -- bathymetric survey -- acoustic profiling system -- climate -- land use -- physiography -- sedimentation -- dam safety; Water-supply -- Periodicals; Hydrology -- Periodicals; Water resources development -- Periodicals; Water resources development -- Environmental aspects -- Periodicals; 333.9100973
• DOI: 10.1111/1752-1688.12658
• Languages: English
• ISSNs: 1093-474X

Abstract

Abstract: Forty‐five flood control reservoirs, authorized in the Watershed Protection and Flood Prevention Act 1954, were installed by United States Department of Agriculture (USDA) between 1969 and 1982 in the Little Washita River Experimental Watershed (LWREW), located in central Oklahoma. Over time, these reservoirs have lost sediment and flood storage capacity due to sedimentation, with rates dependent on upstream land use and climate variability. In this study, sedimentation rates for 12 reservoirs representing three major land use categories within LWREW were measured based on bathymetric surveys that used acoustic profiling system. Physiographic and climate attributes of drainage area of surveyed reservoirs were extracted from publicly available data sources including topographic maps, digital elevation models, USDA Natural Resource Conservation Service soils, and weather station databases. Correlation, principal component analysis, and stepwise regression were utilized to analyze the relationship between normalized reservoir sedimentation rates (ReSRa) and the drainage area characteristics to determine the major variables controlling sedimentation within the LWREW. Percent of drainage area with extreme slopes, saturated hydraulic conductivity, and maximum daily rainfall event recorded in spring explained most of the variability in ReSRa. It was also found that percent reduction in reservoir surface area can be used as a surrogate for estimating ReSRa. The implications of the results are discussed. Abstract : Research Impact Statement : Reservoir sediment volume and flood storage capacity can be linked to climate, soils, and topographic characteristics, thus providing a tool to prioritize remediation efforts of aging reservoirs.