### 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 language | English (US) |
---|---|

Pages (from-to) | 421-435 |

Number of pages | 15 |

Journal | Computers and Operations Research |

Volume | 1 |

Issue number | 3-4 |

DOIs | |

State | Published - 1974 |

Externally published | Yes |

### Fingerprint

### ASJC Scopus subject areas

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

### Cite this

*Computers and Operations Research*,

*1*(3-4), 421-435. https://doi.org/10.1016/0305-0548(74)90061-6

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

Research output: Contribution to journal › Article

*Computers and Operations Research*, vol. 1, no. 3-4, pp. 421-435. https://doi.org/10.1016/0305-0548(74)90061-6

}

TY - JOUR

T1 - Minimization of combined sewer overflows by large-scale mathematical programming

AU - Labadie, John W.

AU - Grigg, Neil S.

AU - Trotta, Paul D

PY - 1974

Y1 - 1974

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=49549153716&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=49549153716&partnerID=8YFLogxK

U2 - 10.1016/0305-0548(74)90061-6

DO - 10.1016/0305-0548(74)90061-6

M3 - Article

VL - 1

SP - 421

EP - 435

JO - Surveys in Operations Research and Management Science

JF - Surveys in Operations Research and Management Science

SN - 0305-0548

IS - 3-4

ER -