Benefits of meta-model validation for real-time sewer system decision support

Andrea Zimmer, Barbara Minsker, Arthur Schmidt, Avi Ostfeld

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large-scale combined sewer systems are susceptible to overflows (CSOs) during heavy storm events. Management strategies that partition water flow into the sewers or nearby waterways may be based on conservative operational rules designed to prevent possible flow instabilities. However, these operations may not effectively utilize system storage capacity for all types of storm events. Real-time adaptation of system operating rules can reduce overflows while continuing to avoid hydraulic conditions that lead to transients and geysers. In this study, realtime genetic algorithm (GA) optimization is evaluated for its success in minimizing CSOs for a test case modeled after a portion of the Chicago Tunnel and Reservoir Plan (TARP).

Original languageEnglish (US)
Title of host publicationWorld Environmental and Water Resources Congress 2011
Subtitle of host publicationBearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress
Pages2911-2919
Number of pages9
DOIs
StatePublished - 2011
EventWorld Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Palm Springs, CA, United States
Duration: May 22 2011May 26 2011

Publication series

NameWorld Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress

Other

OtherWorld Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability
Country/TerritoryUnited States
CityPalm Springs, CA
Period5/22/115/26/11

Keywords

  • Decision support systems
  • Overflow
  • Sewers

ASJC Scopus subject areas

  • General Environmental Science

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