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Predicting risk of water quality failures in distribution networks under uncertainties using fault-tree analysis

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1080/15730620802213504
AuthorSearch for: 1; Search for: ; Search for: 1
Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
Subjectdistribution networks, fault-tree analysis, risk events, water quality failure, fuzzy probability, Frank copula, Walkerton and North Battleford; Water quality
Abstract
It explores how interdependencies among factors might impact analysis results and considers two types of uncertainties. The first is related to the likelihood of risk events, and the second is related to non-linear dependencies among risk events. Each basic risk event (input factor) is defined using a fuzzy probability (likelihood) to deal with its inherent uncertainty. The dependencies among risk events are explored using Frank copula and Frechet's limit. The proposed approach is demonstrated using two well-documented episodes of water quality failures in Canada, namely, Walkerton (ON) and North Battleford (SK).
Publication date
In
  • Urban Water 5, no. 4 (1 December 2008): 287–304.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 50059
NRC-IRC-19087
NPARC number20377473
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Record identifierd745c4b6-b538-48e9-a2a5-c01ac5ea3593
Record created2012-07-24
Record modified2020-04-15
Date modified: