A water supply risk assessment model for water distribution network

Taeho Choi, Jayong Koo

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

A water supply risk (WSR) assessment model was developed for a water distribution network and applied in a targeted area for determining the pipe burst probability (ProbPB), the impact of pipe burst (ImpPB), and the WSR calculated as the product of these two values. ImpPB was separately calculated for the leakage duration time and the repair work time when water service is cut-off or reduced. The WSR for the block in the study area was calculated at 1.507 m3/year. To verify this WSR, pipe replacement was performed based on ProbPB, which is a management indicator for the water provider, ImpPB, which is a management indicator for the water consumer, and the WSR that considers both of these, by analyzing the WSR reduction effect of each. The pipe replacement cost, which is a restrictive condition, was set at 5% of the full replacement cost (5.3 billion won) for the entire pipe network in the targeted area. Pipe replacement was performed based on ProbPB, ImpPB and WSR. The block WSR reduction efficiency for pipe replacement was calculated at 0.524 m3/year/billion won based solely on ProbPB, 2.163 m3/year/billion won based solely on ImpPB, and 2.173 m3/year/billion won based on concurrent consideration of both factors by introducing the concept of WSR. Hence, the reduction efficiency was the highest for pipe replacement based on WSR. The study results demonstrated the capability of the proposed WSR assessment model to concurrently consider the positions of both water provider and water consumer. In addition, the cost effectiveness of the model was verified.

Original languageEnglish
Pages (from-to)1410-1420
Number of pages11
JournalDesalination and Water Treatment
Volume54
Issue number4-5
DOIs
StatePublished - 1 May 2015

Keywords

  • ISM
  • Impact of pipe burst
  • Logistic regression analysis
  • Pipe burst probability
  • Water supply risk

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