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Developing Best Estimates for CSO Control Volumes to Meet NPDES Requirements

Robin Lee, Tai Ovbiebo, Joseph Pang, Mel Schaefer, Bruce Barker, Ben Marre and Steve Merrill (2012)
Seattle Public Utilities , USA
Seattle Public Utilities, USA
MGS Engineering Consultants, Inc., USA
Brown and Caldwell, USA
DOI: https://doi.org/10.14796/JWMM.R245-17
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Abstract

The City of Seattle owns and operates a combined sewer system (CSS) that overflows during heavy rain events into surrounding water bodies, potentially impacting their quality and uses. Hydraulic and hydrologic models of the city’s uncontrolled combined sewer overflow (CSO) basins were developed to identify projects and programs that will limit untreated overflows at each CSO outfall to an average of no more than one annually, a performance standard established in the City’s CSO national pollutant discharge elimination system (NPDES) permit.

After manual calibration, each model underwent an automated calibration process, the automated calibration and uncertainty analysis for storm water management model (ACU-SWMM). ACU-SWMM is a software package created by MGS Engineering Consultants, Inc. (MGS) for use with the U.S. Environmental Protection Agency (USEPA) Storm Water Management Model (SWMM5). It was designed primarily for use with CSSs where uncertainties from multiple sources can make model calibration difficult and severely impact the reliability of sewer flow predictions.

This chapter also describes the process established to identify the overflow control levels using a continuous long term simulation (LTS), taking into account the effect of the several uncertainties due to precipitation time series, collected flow data, climate changes, and model hydrology and hydraulics uncertainties.

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PAPER INFO

Identification

CHI ref #: R245-17 729
Volume: 20
DOI: https://doi.org/10.14796/JWMM.R245-17
Cite as: JWMM 20: R245-17

Publication History

Received: N/A
First decision: N/A
Accepted: N/A
Published: February 15, 2012

Status

# reviewers: 2
Version: Final published

Copyright

© 2012 CHI.
Some rights reserved.

License

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

Robin Lee

Seattle Public Utilities , Seattle, WA, USA
ORCiD:

Tai Ovbiebo

Seattle Public Utilities, Seattle, WA, USA
ORCiD:

Joseph Pang

Seattle Public Utilities, Seattle, WA, USA
ORCiD:

Mel Schaefer

Seattle Public Utilities, Seattle, WA, USA
ORCiD:

Bruce Barker

MGS Engineering Consultants, Inc., Puyallup, WA, USA
ORCiD:

Ben Marre

Seattle Public Utilities, Seattle, WA, USA
ORCiD:

Steve Merrill

Brown and Caldwell, Seattle, WA, USA
ORCiD:


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creative commons license   JWMM content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0 DEED)


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