Water quality - Water main renewal planner (Q-WARP): Development and application

  1. Get@NRC: Water quality - Water main renewal planner (Q-WARP): Development and application (Opens in a new window)
DOIResolve DOI: http://doi.org/10.2166/aqua.2014.079
AuthorSearch for: ; Search for: ; Search for: ; Search for: ; Search for:
Journal titleJournal of Water Supply: Research and Technology - AQUA
Pages429448; # of pages: 20
SubjectElectric power distribution; Sensitivity analysis; Water distribution systems; Baseline analysis; Development and applications; Water mains; Decision theory; baseline survey; decision making; distribution system; infrastructural development; model test; pipeline; renewal policy; risk assessment; sensitivity analysis; spatial cognition; water quality; Pennsylvania; Philadelphia
AbstractThe impact of deteriorating pipes on water quality (WQ) in the distribution network has not been consistently taken into account in decision making related to pipe renewals. In this paper, a detailed modeling approach based on fuzzy cognitive maps is developed using fuzzy rule-based models and fuzzy measures theory to investigate potential of WQ (physical, chemical, and biological) failure in distribution networks. Based on information and data obtained from preliminary analysis, literature, and expert opinion, a decision support tool named Q-WARP (water quality - water main renewal planner) is developed to consider uncertain, subjective/linguistic and/or incomplete data. Q-WARP provides a plausible way to represent and comprehend ill-defined and complex relationships such as those that govern WQ in the distribution network. The proposed model has the capacity to perform the 'baseline analysis' that performs risk assessment and risk evaluation; and the 'decision analysis' that performs risk management and guides decision making. The developed model has also been applied to a case study in Stanley Street (Philadelphia) to evaluate the model's capability. The results manifested that the model can efficiently assess the 'potential' for WQ failures and can also be used in decision making for WQ improvements by making infrastructure changes in distribution systems.
Publication date
PublisherIWA Publishing
AffiliationNational Research Council Canada (NRC-CNRC); Construction
Peer reviewedYes
NPARC number21272942
Export citationExport as RIS
Report a correctionReport a correction
Record identifier4e6bd68b-a1e3-47e8-ae2f-c16818600e78
Record created2014-12-03
Record modified2017-04-05
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: