Optimal joint deployment of flow and pressure sensors for leak identification in water distribution networks

Ehsan Raei, Mohammad Reza Nikoo*, Shokoufeh Pourshahabi, Mojtaba Sadegh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


A multi-objective optimization methodology is proposed herein for accurate identification of leakage in water distribution networks (WDNs) using pressure and flow sensors. We first model leakage at potential nodes using the EPANET software, and then divide WDN into near-homogenous zones using k-means clustering algorithm based on geographic distribution of nodes. Finally, flow and pressure sensors locations are optimized using the NSGA-II algorithm to identify the leakage zone accurately. Novelty of the proposed approach lies in sequential optimization of flow and pressure sensors placement, which helps improve the accuracy of leakage zone identification in WDNs. The objective functions of this study are: 1) maximizing accuracy of identified leakage zone and 2) minimizing number of sensors (and hence operational costs). Simulation results of the Mesopolis WDN corroborate the efficiency and effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)837-846
Number of pages10
JournalUrban Water Journal
Issue number9
Publication statusPublished - Oct 21 2018


  • flow and pressure sensors
  • k-means clustering
  • leak identification
  • multi-objective optimization
  • Water distribution network (WDN)

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Water Science and Technology

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