Predicting Streambed Sediment and Water Column Escherichia coli Levels at Watershed Scale |
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Authors: | Pramod K. Pandey Michelle L. Soupir Charles D. Ikenberry Chris R. Rehmann |
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Affiliation: | 1. Department of Population Health and Reproduction, Veterinary Medicine School, University of California, Davis, California;2. Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa;3. Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, Iowa |
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Abstract: | A sub‐model for the Soil and Water Assessment Tool (SWAT) is developed to predict Escherichia coli levels in the streambed sediment as well as in the water column. New formulations to estimate the levels of E. coli in streambed sediment and the water column are derived. These equations include calculations of E. coli resuspension from the streambed sediment to the water column, E. coli deposition from the water column to the streambed sediment, E. coli growth in the streambed sediment and the water column, and instream E. coli routing. These formulations were programmed in FORTRAN and integrated into SWAT. The modified SWAT model was applied to Squaw Creek Watershed, Iowa, to predict E. coli levels in the stream. Escherichia coli concentrations in the streambed sediment and the water column were monitored extensively in this watershed, and observations were used to verify the model predictions. The model proposed here can predict E. coli concentrations in streambed sediment as well as in the water column. Approximately 58% of the predictions of E. coli levels in the bed sediment were within 1 order of magnitude from the observed value, and in the water column 83% of the predictions of E. coli levels were within 1 order of magnitude. Results suggest that the proposed model will help predictions of instream bacterial contamination. |
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Keywords: | water quality model pathogen indicator microorganism fate and transport |
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