Fuzzy Parameters in the Analysis of Water Distribution Networks

Rajesh Gupta, Lindell Ormsbee

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Fuzzy analysis of water distribution networks (WDNs) determines how the uncertainties in independent or basic parameters (such as nodal demands and pipe roughness coefficients) are propagated to dependent or derived parameters (such as pipe flows, pipe velocities, and available pressure heads). Fuzzy analysis is useful in identifying the vulnerable zone in WDNs. Further, it can be used for the reliability analysis and reliability-based design of WDNs under uncertainty of various parameters. Several methodologies have been suggested for fuzzy analysis. These methodologies are categorized as: (i) optimization-based methodologies and (ii) analysis-based methodologies. The concepts behind these methods along with the brief description of various methods are provided. The membership functions obtained by both optimization- and analysis-based methodologies are compared with two example networks. At the end, methods for obtaining the approximate fuzzy membership functions are discussed.

Original languageEnglish
Title of host publicationFuzzy Systems Modeling in Environmental and Health Risk Assessment
Pages161-189
Number of pages29
ISBN (Electronic)9781119569503
DOIs
StatePublished - Jan 1 2023

Bibliographical note

Publisher Copyright:
© 2023 John Wiley & Sons, Inc. Published 2023 by John Wiley & Sons, Inc.

ASJC Scopus subject areas

  • General Physics and Astronomy

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