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A Suite of Tools for Efficient Modeling of Complex Collection Systems using SWMM

Khalid Khan, Sangameswaran Shyamprasad, Gary Mercer and James (Jim) Smullen (2010)
CDM Smith
DOI: https://doi.org/10.14796/JWMM.R236-08
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Abstract

The U.S. Environmental Protection Agency’s Storm Water Management Model (SWMM) model uses a non-linear reservoir algorithm to compute runoff by dynamically routing flows while taking into account the backwater and pressurized flow conditions. These abilities of SWMM enable detailed modeling of complex urban collection systems. Advancement in the computer memory and processing speed has encouraged development of complex collection system models. As complexity increases, detailed representation of the system is often limited by the ability of the available tools in SWMM to prepare large input datasets for the model simulation as well as to perform adequate quality assurance checks on the model simulation results. Moreover, some of the unique methodologies utilized in such complex models cannot be handled by the in-built functionalities of some readily available third party software which are designed to address the more general applications of the models. Experience with modeling large urban collection systems suggests that the one-size-fits-all concept does not always work. This paper presents a discussion of some of the customized tools developed to assist with the hydrologic and hydraulic (H&H) modeling of complex urban service area for the Allegheny County Sanitary Authority (ALCOSAN) in south-western Pennsylvania using SWMM5.

The customized tools presented in this paper include those devel-oped to prepare the model, the input datasets and the post-processing of the model simulation results. The tools or programs were developed using the Statistical Analysis Software (SAS). Programs were developed to process the GIS information to create slope categories for the sub-catchments, process the calibrated radar rainfall data to develop area-weighted precipitation time-series for each sewershed and process the quality assured flow monitoring data to develop the dry weather flow hydrographs at all point of connections to the collection system for direct input into the model. Post-processing programs were developed to facilitate the hydrologic validation of the monitored sewersheds, to generate various types of plots to assist with the quality assurance checks of the model simulation results and to generate overflow discharge summary reports for all outfalls in the system to quantify the combined sewer overflow (CSO) and separate sewer overflow (SSO) discharges into the receiving waters.

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PAPER INFO

Identification

CHI ref #: R236-08 762
Volume: 18
DOI: https://doi.org/10.14796/JWMM.R236-08
Cite as: CHI JWMM 2010;R236-08

Publication History

Received: N/A
Accepted: N/A
Published: February 15, 2010

Status

# reviewers: 2
Version: Final published

Copyright

© 2010 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

Khalid Khan

CDM Smith, Pittsburgh, PA, USA
ORCiD:

Sangameswaran Shyamprasad

CDM Smith, Cambridge, MA, USA
ORCiD:

Gary Mercer

CDM Smith, Cambridge, MA, USA
ORCiD:

James (Jim) Smullen

CDM Smith, Edison, NJ, USA
ORCiD:


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