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A Multi-Objective Optimization Decision Support Model for Renewal Planning of Sewer Networks

Mahmoud Halfawy, Leila Dridi and Samar Baker (2009)
National Research Council Canada
DOI: https://doi.org/10.14796/JWMM.R235-09
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Abstract

A new integrated approach for optimal renewal planning of municipal infrastructure systems has been developed. This chapter discusses the application of the proposed approach to implement a GIS-based Decision Support System (DSS) to support the renewal planning of sewer networks. The approach involves several steps addressing condition rating, risk assessment, and prioritization of sewers. It also incorporates a procedure for identifying and selecting the most suitable renewal technologies. A genetic algorithm (GA)-based multi-objective optimization (MOO) technique is used to find a Pareto front and identify a set of feasible solutions, in which a set of sewers is selected for renewal each year, along with the associated costs and expected benefits in terms of condition improvement and risk reduction. The chapter also presents an example application of the prototype DSS on the sewer network in Regina, Canada.

 

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PAPER INFO

Identification

CHI ref #: R235-09 793
Volume: 17
DOI: https://doi.org/10.14796/JWMM.R235-09
Cite as: CHI JWMM 2009;R235-09

Publication History

Received: N/A
Accepted: N/A
Published: February 15, 2009

Status

# reviewers: 2
Version: Final published

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© 2009 CHI. Some rights reserved.

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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).

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AUTHORS

Mahmoud Halfawy

National Research Council Canada, Regina, SK, Canada
ORCiD:

Leila Dridi

National Research Council Canada, Regina, SK, Canada
ORCiD:

Samar Baker

National Research Council Canada, Regina, SK, Canada
ORCiD:


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