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Water Distribution Network Reliability: are Surrogate Measures Reliable?

8 pagesPublished: September 20, 2018

Abstract

Water distribution networks (WDNs) must be reliable infrastructures since they provide an essential service to society. Reliability assessment is a complex task and involves various aspects: mechanical, hydraulic, water quality, water safety, among others. This paper focuses on the hydraulic reliability. Hydraulic reliability is computationally hard to measure directly, therefore researchers came up with surrogate measures, like the resilience index, the modified resilience index, the flow entropy or the diameter-sensitive flow entropy, that are simple and fast to compute. But, are these surrogate measures reliable to be used in the design of WDNs?
This paper proposes a new reliability index based on the surplus flow available on each node to mitigate the effects of a pipe failure. To illustrate the applicability of this new index, a WDN example is optimally designed using a simulated annealing algorithm. Results show that the solutions based on the flow entropy or on the proposed index are more reliable than the others, and, also, the maximization of the other reliability indexes gives only a residual contribution to the global reliability (or even no contribution at all).

Keyphrases: entropy, modeling, pressure driven analysis, resilience, water distribution network, waternetgen

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1470-1477.

BibTeX entry
@inproceedings{HIC2018:Water_Distribution_Network_Reliability,
  author    = {João Muranho and Joaquim Sousa and Alfeu Sá Marques and Ricardo Gomes},
  title     = {Water Distribution Network Reliability: are Surrogate Measures Reliable?},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/KS2c},
  doi       = {10.29007/4whr},
  pages     = {1470-1477},
  year      = {2018}}
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