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Evaluating Water Quality Failure Potential in Water Distribution Systems: A Fuzzy-TOPSIS-OWA-based Methodology

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  • M. Islam
  • Rehan Sadiq
  • Manuel Rodriguez
  • Homayoun Najjaran
  • Alex Francisque
  • Mina Hoorfar

Abstract

The goal of a water distribution system (WDS) is to deliver safe water with desirable quality, quantity and continuity to the consumers. In some cases, a WDS fails to deliver safe water due to the compromise/ failure of water quality which may have devastating consequences. The frequency and consequence of a water quality failure (WQF) can be reduced if prognostic analysis and necessary remedial measures are taken on time. This study developed a prognostic model to predict WQF potential in a WDS. The study identifies important factors (parameters) which can directly and/or indirectly linked to WQFs. These factors are classified into two groups—the causes of WQF such as lack of free residual chlorine, or excess of total organic carbon, and the symptoms of WQF such as taste & odor, color which are in fact the effects of certain causes of WQF. The interrelationships among the symptoms and the causes have been established based on extensive literature review and elicited expert opinion. A fuzzy-TOPSIS-OWA-based model has been developed to identify the impacts of different influencing parameters on the overall WQF potential. The developed model has been implemented for a WDS in Quebec City (Canada). To study the impacts of uncertainties of the influencing factors, a Monte Carlo simulation-based sensitivity analysis has been carried out. It is anticipated that the developed model can help water utilities to understand the role of different factors on WQF. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • M. Islam & Rehan Sadiq & Manuel Rodriguez & Homayoun Najjaran & Alex Francisque & Mina Hoorfar, 2013. "Evaluating Water Quality Failure Potential in Water Distribution Systems: A Fuzzy-TOPSIS-OWA-based Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2195-2216, May.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:7:p:2195-2216
    DOI: 10.1007/s11269-013-0283-6
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    References listed on IDEAS

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    1. X. Qin & G. Huang, 2009. "An Inexact Chance-constrained Quadratic Programming Model for Stream Water Quality Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 661-695, March.
    2. Torres, Jacob M. & Brumbelow, Kelly & Guikema, Seth D., 2009. "Risk classification and uncertainty propagation for virtual water distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 94(8), pages 1259-1273.
    3. Li Xuesen & Wang Bende & Rajeshwar Mehrotra & Ashish Sharma & Wang Guoli, 2009. "Consideration of Trends in Evaluating Inter-basin Water Transfer Alternatives within a Fuzzy Decision Making Framework," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(15), pages 3207-3220, December.
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    Cited by:

    1. Georgios K. Koulinas & Olympia E. Demesouka & Konstantinos A. Sidas & Dimitrios E. Koulouriotis, 2021. "A TOPSIS—Risk Matrix and Monte Carlo Expert System for Risk Assessment in Engineering Projects," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    2. M. Shafiqul Islam & Rehan Sadiq & Manuel J. Rodriguez & Homayoun Najjaran & Mina Hoorfar, 2016. "Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(8), pages 2831-2850, June.
    3. Tang, Kayu & Parsons, David J. & Jude, Simon, 2019. "Comparison of automatic and guided learning for Bayesian networks to analyse pipe failures in the water distribution system," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 24-36.
    4. Xin-Yu Wan & Ping-An Zhong & Emmanuel Appiah-Adjei, 2014. "Variable Sets and Fuzzy Rating Interval for Water Allocation Options Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2833-2849, August.
    5. M. Shafiqul Islam & Rehan Sadiq & Manuel J. Rodriguez & Homayoun Najjaran & Alex Francisque & Mina Hoorfar, 2014. "Water distribution system failure: a framework for forensic analysis," Environment Systems and Decisions, Springer, vol. 34(1), pages 168-179, March.
    6. Ahamd Radmehr & Shahab Araghinejad, 2015. "Flood Vulnerability Analysis by Fuzzy Spatial Multi Criteria Decision Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4427-4445, September.
    7. Daeryong Park & Huan-Jung Fan & Jun-Jie Zhu & Taesoon Kim & Myoung-Jin Um & Siyeon Kim & Seol Jeon & Kichul Jung, 2021. "Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea," Sustainability, MDPI, vol. 13(3), pages 1-16, January.

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