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A Study of the Impacts and Control of Wet Weather Sources of Pollution on Large Rivers

Christine Hill, John Lyons and Mike Hulley (1997)
XCG Consultants Ltd.; Ohio River Sanitation Commission
DOI: https://doi.org/10.14796/JWMM.R195-15
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Abstract

The Ohio River Sanitation Commission (ORSANCO) has undertaken a study of the sources of wet weather pollution in large rivers. The study is to be completed within two years with work in the first year concentrating on defining wet weather sources of pollution while work in the second year will concentrate on evaluating effective wet weather controls. The project includes both extensive and monitoring of water quality. At this point (March 1996), year one is nearing completion.

As part of this study, a complete XP-SWMM model of the drainage system within the greater Cincinnati area was developed. This model included interceptor sewers, trunk sewers, all combined sewer overflows (CSOs), significant overflows (SSOs), treatment plants, and receiving streams and rivers. Both flow and water quality data were modelled for the entire system. The model was calibrated using existing stream tributary flow and concentration data, and interceptor flow and concentration data.

The purpose of the modelling is to generate pollutographs from direct the Ohio River (a significant number of CSOs and three wastewater treatment plants) and tributary streams. Tributary streams within the study area receive CSO and SSO discharges during wet weather. The results of the model are to be interfaced with a WASP model of the Ohio River, currently being developed by another member of the study team.

The model was used to generate pollutographs for fecal coliform and suspended solids for a total of four wet weather events during the fall of 1995. These four events were selected due to the availability of event mean concentration data from water quality monitoring. Statistical analyses on collected data were completed to define event mean concentrations for CSO discharges. Model results were compared against data collected during an extensive water quality monitoring program. Water quality was monitored in tributary streams. A comparison of modeled results with measured results indicated good agreement between predicted concentrations of fecal coliform and measured concentrations. In the next year, the developed model will be utilized to evaluate alternatives for controlling wet weather sources of pollution into the Ohio River.

 

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PAPER INFO

Identification

CHI ref #: R195-15 1091
Volume: 5
DOI: https://doi.org/10.14796/JWMM.R195-15
Cite as: CHI JWMM 1997;R195-15

Publication History

Received: N/A
Accepted: N/A
Published: February 15, 1997

Status

# reviewers: 2
Version: Final published

Copyright

© 1997 CHI. Some rights reserved.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Water Management Modeling is an open-access (OA) publication. Open access means that articles and papers are available without barriers to all who could benefit from them. Practically speaking, all published works will be available to a worldwide audience, free, immediately on publication. As such, JWMM can be considered a Diamond, Gratis OA journal.

All papers published in the JWMM are licensed under a Creative Commons Attribution 4.0 International License (CC BY).

JWMM content can be downloaded, printed, copied, distributed, and linked-to, when providing full attribution to both the author/s and JWMM.


AUTHORS

Christine Hill

XCG Consultants Ltd., Oakville, ON, Canada
ORCiD:

John Lyons

Ohio River Sanitation Commission, Cincinnati, OH, USA
ORCiD:

Mike Hulley

XCG Consultants Ltd., Kingston, ON, Canada
ORCiD:


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