Minimization of combined sewer overflows by large-scale mathematical programming

John W. Labadie, Neil S. Grigg, Paul D Trotta

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

There is a critical need for the development and implementation of control strategies for minimizing receiving water pollution caused by overflows from urban combined sewer systems. Automation and control of such systems has risen as a viable approach to this problem. Control is carried out through regulation of ambient and/or auxiliary storage in the system. The goal is to detain storm flows in the system long enough to prevent flows of a magnitude that exceeds treatment plant capacity, thereby reducing overflow into receiving waters. The problem is first attacked by dividing the large combined sewer system into several mildly interconnected subsystems for which control logic can be developed from application of mathematical programming algorithms consistent with the special characteristics of each subsystem. A flow-projection technique is developed for subsystems not amenable to direct solution by standard optimization techniques.

Original languageEnglish (US)
Pages (from-to)421-435
Number of pages15
JournalComputers and Operations Research
Volume1
Issue number3-4
DOIs
StatePublished - 1974
Externally publishedYes

Fingerprint

Combined sewers
Overflow
Mathematical programming
Mathematical Programming
programming
subsystem
Subsystem
Water pollution
Water Pollution
water pollution
automation
Automation
Optimization Techniques
projection
Control Strategy
Exceed
Projection
Logic
Water
regulation

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research
  • Applied Mathematics
  • Modeling and Simulation
  • Transportation

Cite this

Minimization of combined sewer overflows by large-scale mathematical programming. / Labadie, John W.; Grigg, Neil S.; Trotta, Paul D.

In: Computers and Operations Research, Vol. 1, No. 3-4, 1974, p. 421-435.

Research output: Contribution to journalArticle

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