A multi-objective optimization decision support model for renewal planning of sewer networks

  1. (PDF, 542 KB)
AuthorSearch for: ; Search for: ; Search for:
ConferenceInternational Stormwater and Urban Water Systems Modeling Conference: 21 February 2008, Toronto, Ontario
Pages114; # of pages: 14
Subjectsewer networks, asset management, GIS, renewal planning, optimization; Sewers
AbstractThis paper 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 paper also presents an example application of the prototype DSS on the sewer network in Regina, Canada.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number50438
NPARC number20377114
Export citationExport as RIS
Report a correctionReport a correction
Record identifier535144cb-761e-4714-8494-ec68e085ba60
Record created2012-07-24
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)
Date modified: