Watershed

Oral

388955 - Development and Calibration of a Semi Distributed Model for Reservoir Sediment Estimation in the Tri State Mining District.

Thursday, June 7
8:30 AM - 10:00 AM
Location: Greenway IJ
Co-Authors: Hantush Mohamed, Cincinnati – US EPA; Alexander Hall, Cincinnati – US EPA; Dyson Brian, Cininnati – US EPA; Souhail R. Al-Abed, Cincinnati – US EPA; John McKernan, Cincinnati – US EPA

The Tri State Mining District (TSMD), located in southeast Kansas, southwest Missouri, and northeast Oklahoma, was one of the primary sources of lead and zinc ore in the world. Mining affected areas in the TSMD have resulted in metal contamination in downstream stream reaches, floodplains, and Empire Lake. A semi-distributed watershed model using SWAT has been developed to simulate sediment loading into Empire Lake from the Spring River watershed. The objective of the modeling study is to evaluate alternative management scenarios to mitigate contaminated sediments into Empire Lake and reduce metal loading from mining affected areas in the Spring River watershed. We investigate the impact of hydro-climate data resolution to determine the combined impact and synergy of climate data sources and geospatial data resolution (DEMs, soil data, sub-basin discretization) on SWAT’s hydrologic and sediment model performance. Eighteen different climate and geospatial data resolution scenarios were considered and SWAT model performance was examined pre and post model calibration with 4 years-worth of biweekly observed sediment concentration data. An optimal model is selected to evaluate hypothetical management strategies such as lake dredging and sub-basin scale sediment containment

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388955 - Development and Calibration of a Semi Distributed Model for Reservoir Sediment Estimation in the Tri State Mining District.



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