Innovative modeling framework for combined sewer overflows prediction

Viviana M. Morales, Jose M. Mier, Marcelo Horacio Garcia

Research output: Contribution to journalArticle

Abstract

Combined sewer overflows (CSOs) and street flooding are undesirable consequences of insufficient capacity of sewer networks and wastewater systems. These conditions degrade the water quality of the receiving waters, potentially damage infrastructure, and threaten public health. Significant efforts to prevent CSOs and alleviate flooding have been undertaken in Chicago, with the construction of the tunnel and reservoir plan (TARP). This study analyses the hydraulic response of the first tunnel built in Chicago “The Lawrence Avenue Tunnel” through a framework of hydrological and hydraulic models. This framework proved effective in CSO's volume, frequency and duration predictions as it yields simulation results of existing conditions that match well with available records. The findings also provide insights into the importance of system operation on CSOs occurrence and magnitude. Adaptive management of the tunnel during storm events is recommended to minimize the impact of CSOs.

Original languageEnglish (US)
Pages (from-to)97-111
Number of pages15
JournalUrban Water Journal
Volume14
Issue number1
DOIs
StatePublished - Jan 2 2017

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tunnel
water
prediction
modeling
damages
flooding
public health
infrastructure
sewer network
hydraulics
simulation
event
adaptive management
management
water quality
wastewater

Keywords

  • CSO
  • hydraulic of sewers
  • integrated modeling

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Water Science and Technology

Cite this

Innovative modeling framework for combined sewer overflows prediction. / Morales, Viviana M.; Mier, Jose M.; Garcia, Marcelo Horacio.

In: Urban Water Journal, Vol. 14, No. 1, 02.01.2017, p. 97-111.

Research output: Contribution to journalArticle

Morales, Viviana M. ; Mier, Jose M. ; Garcia, Marcelo Horacio. / Innovative modeling framework for combined sewer overflows prediction. In: Urban Water Journal. 2017 ; Vol. 14, No. 1. pp. 97-111.
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