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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 184-197 |
| Number of pages | 14 |
| Journal | Journal of the American Water Resources Association |
| Volume | 52 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 1 2016 |
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Keywords
- Microorganism fate and transport
- Pathogen indicator
- Water quality model
ASJC Scopus subject areas
- Ecology
- Water Science and Technology
- Earth-Surface Processes
Cite this
Predicting Streambed Sediment and Water Column Escherichia coli Levels at Watershed Scale. / Pandey, Pramod; Soupir, Michelle L.; Ikenberry, Charles D.; Rehmann, Chris R.
In: Journal of the American Water Resources Association, Vol. 52, No. 1, 01.02.2016, p. 184-197.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Predicting Streambed Sediment and Water Column Escherichia coli Levels at Watershed Scale
AU - Pandey, Pramod
AU - Soupir, Michelle L.
AU - Ikenberry, Charles D.
AU - Rehmann, Chris R.
PY - 2016/2/1
Y1 - 2016/2/1
N2 - 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.
AB - 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.
KW - Microorganism fate and transport
KW - Pathogen indicator
KW - Water quality model
UR - http://www.scopus.com/inward/record.url?scp=84958600166&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958600166&partnerID=8YFLogxK
U2 - 10.1111/1752-1688.12373
DO - 10.1111/1752-1688.12373
M3 - Article
AN - SCOPUS:84958600166
VL - 52
SP - 184
EP - 197
JO - Journal of the American Water Resources Association
JF - Journal of the American Water Resources Association
SN - 1093-474X
IS - 1
ER -