Water quality modeling and sensitivity analysis using Water Quality Analysis Simulation Program (WASP) in the Shenandoah River watershed |
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| Authors: | Mbongowo J Mbuh Richard Mbih Comfort Wendi |
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| Institution: | 1. Department of Geography and Geoinformation Science, University of North Dakota, Grand Forks, ND, USA;2. Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USA;3. Department of African Studies, Pennsylvania State University, State College, PA, USA;4. Department of Nursing, Strafford University, Falls Church, VA, USA |
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| Abstract: | This study used the Water Quality Analysis Simulation Program (WASP) to simulate nutrients, dissolved oxygen (DO), and chlorophyll-a dynamics in the Shenandoah River basin and performed an uncertainty analysis to examine the complexity of these variables in water quality estimation and their influence on the Shenandoah River. Significant progress has been made; however, nutrient loads emitted into the Shenandoah River from nonpoint sources remain high. Modeling of three points on the Shenandoah River in Virginia and West Virginia provides an ideal case study since the river is classified by the Virginia Department of Environmental Quality as being impaired. The results of a sensitivity test show that model error decreases with increasing model complexity and sensitivity. The model predicted DO values that tended to be close to the measured data, while total nitrogen and phosphorus tended to be overemphasized. Our results examine the importance of temperature, stream flow, and velocity in influencing water quality between seasons and levels on the different sections of the watershed. |
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| Keywords: | Nitrogen phosphorus sensitivity uncertainty water quality water resources management |
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