We noticed that you're not using the latest version of your browser. You'll still be able to use our site, but it might not work or look the way it's supposed to. We recommend upgrading your browser.
JOURNAL OF WATER MANAGEMENT MODELING JWMM
AUTHORS
REVIEWERS
ABOUT
RESOURCES
Menu SEARCH LOGIN
Software
Tap in to water management modeling that excels. PCSWMM is flexible, easy to use and streamlines your workflow – saving you time and resources.
Training
Beginner or seasoned user, our flexible training options help you understand and master the full capabilities of both EPA SWMM5 and PCSWMM.
Community
There's a whole community to support you - find solutions, view code and more.
OPEN SWMM
OPEN EPANET
Journal
Our peer-reviewed, open-access Journal of Water Management Modeling. Expand your knowledge, get insights and discover new approaches that let you work more effectively.
Conference
The International Conference on Water Management Modeling. Meet your colleagues, share your experiences and be on the forefront of advances in our profession.
Consulting
Not sure how to solve a complex water management issue? Put our experience, knowledge, and innovation to work for you.
  • AUTHORS
  • REVIEWERS
  • ABOUT
  • SEARCH
  • RESOURCES
    Software
    Training
    Community
    OPEN SWMM
    OPEN EPANET
    Journal
    Conference
    Consulting

JWMM Login

Verifying credentials  Don't have an account?
Forgot your password?

An Innovative Continuous Simulation Approach to Size a Sanitary Sewer System Storage Facility

Li Zhang, Fang Cheng, Greg Barden, John Schroeder and Edward Burgess (2013)
CDM Smith; City of Columbus
DOI: https://doi.org/10.14796/JWMM.R246-20
Comments

Collapse all
Collapse all

Abstract

Continuous simulation of collection systems can quantify overflow frequency, pump runtime, storage utilization and dewatering characteristics, and other important indicators of wet-weather system performance. Compared to single event simulation using synthetic design storms, continuous simulation with long-term historical rainfall can better define storage facility performance and thereby avoid potential over-sizing or under-sizing. However, continuous simulation often requires long run times for complex computer models of large sewer system networks.

This paper presents an innovative approach to size a sanitary sewer storage facility as part of the Livingston/James Sewer System Infiltration and Inflow Remediation Project for Columbus, Ohio, using a 61-year continuous simulation period. The model includes 2,868 junctions and 2,915 conduits serving an area of 4,669 acres. The model was first developed with SWMM 4.4h, and then converted to SWMM 5. Using 2007-2008 flow monitoring data, seasonal (dormant and growth season) RTKs and seasonal initial abstraction parameters (IA) were calibrated to represent rainfall-derived infiltration and inflow (RDII). Precipitation data for 1949 through 2009 (61 years) from the Port Columbus International Airport gauge were applied to generate inflow hydrographs using the calibrated model. The model was used to size the storage facility to achieve a design objective of a 10-year level of service.

The 61-year inflow hydrographs were compressed using a threshold of full-capacity flow at the pipe downstream of the storage facility. Hydrographs for any period exceeding the threshold were extracted from the composite total inflow hydrograph, which is the sum of inflow hydrographs at loading nodes upstream of the storage facility. Each extracted hydrograph includes a complete RDII response starting and ending at dry weather flow condition with an extra dry day added before each storm hydrograph to allow sufficient time for emptying the storage facility. The same time periods of the extracted composite total hydrograph were used to compress the inflow hydrographs at each loading node. The compressed inflow hydrographs were then routed through the sewer system.

In this manner the hydrologic response of the study area to the full historical precipitation record is simulated to assure proper characterization of the inter-event hydrologic responses, and the full hydraulic routing of the storage events is also simulated to assure proper characterization of the storage responses. Full hydraulic routing is omitted during those periods for which there is no storage inflow or outflow, as this is unnecessary for the proper characterization of storage.

The results showed that using long-term continuous simulation to size storage facilities can be practical, even for large complex sewer models, but may require special techniques to reduce the size of the inflow hydrographs that are routed through the conduit network. An advantage of this continuous simulation approach using the 61-year inflow hydrographs is that it enables simulation of RDII without losing the influences from previous storm and moisture conditions, while maintaining reasonable runtimes to support generating and evaluating different design criteria for different levels of service.

 

This paper is only available in PDF Format:

  View full text PDF

Image


Expand all

PAPER INFO

Identification

CHI ref #: R246-20 707
Volume: 21
DOI: https://doi.org/10.14796/JWMM.R246-20
Cite as: CHI JWMM 2013;R246-20

Publication History

Received: N/A
Accepted: N/A
Published: February 15, 2013

Status

# reviewers: 2
Version: Final published

Copyright

© 2013 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

Li Zhang

CDM Smith, Columbus, OH, USA
ORCiD:

Fang Cheng

CDM Smith, Columbus, OH, USA
ORCiD:

Greg Barden

City of Columbus, Columbus, OH, USA
ORCiD:

John Schroeder

CDM Smith, Columbus, OH, USA
ORCiD:

Edward Burgess

CDM Smith, Cincinnati, OH, USA
ORCiD:


ADDITIONAL DATA

 

COMMENTS

Be the first to comment.

RELATED PAPERS

 


TAGS

 

Connect With Us

Journal of Water Management Modeling
ISSN: 2292-6062

  info@chijournal.org

147 Wyndham St. N., Ste. 202
Guelph, Ontario, Canada, N1H 4E9
About JWMM

Mission and intent

Editorial board

Review process

Disclaimer

Privacy policy

For Authors

Submit paper

Author checklist

Journal paper template

Reference guide

Unit conversion table

For Reviewers

Reviewing guidelines

Criteria to be used

Standards of acceptance


Copyright 2023 by CHI