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Thesis - University Access Only
Master of Science (MS)
Civil and Environmental Engineering
The operation of Mainstem Dams and reservoirs on the Missouri River has been affected by sedimentation. Specifically, sedimentation from the Bad River has caused a loss of channel depth in the Missouri River downstream from the mouth of the Bad River and in Lake Sharpe. Due to concerns about loss of recreation opportunities and flooding, the South Dakota Department of Environment and Natural Resources implemented best management practices (BMPs) in several locations along the Bad River Watershed in an effort to reduce sediment coming from that watershed. Some of the BMPs that were implemented included proper grazing, livestock wells, riparian revegetation. Several models were created prior to the implementation of the BMPs showed that the amount of sediment entering the Missouri River would be reduced. This study examines the sediment load and stream flow from the Bad River to assess the longer term effect of implementing the BMPs in the Bad River watershed. Using data from the United States Geological Survey (USGS), the stream flow and suspended sediment discharge at the Bad River near Fort Pierre were compared before, during, and after the implementation of BMPs. Comparisons were made annually, on a water year basis, and seasonally for conditions before BMP implementation to after implementation. Initial decreases in sediment load were found. Further analysis of the data showed that the initial decrease was not permanent.
Library of Congress Subject Headings
Streamflow -- South Dakota -- Bad River Watershed
Sediment transportation -- South Dakota -- Bad River Watershed
Suspended sediments -- South Dakota -- Bad River Watershed
Best management practices (Pollution prevention)
Includes bibliographical references (pages 67-69)
Number of Pages
South Dakota State University
In Copyright - Educational Use Permitted
Leibel, Brittany, "A Study of Stream Flow and Sediment Load from the Bad RIver Watershed Before and After BMP Implementation" (2012). Electronic Theses and Dissertations. 1344.