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Spatial distribution of water supply reliability and critical links of water supply to crucial water consumers under an earthquake

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  • Wang, Yu
  • Au, Siu-Kui

Abstract

This paper describes a process to characterize spatial distribution of water supply reliability among various consumers in a water system and proposes methods to identify critical links of water supply to crucial water consumers under an earthquake. Probabilistic performance of water supply is reflected by the probability of satisfying consumers’ water demand, Damage Consequence Index (DCI) and Upgrade Benefit Index (UBI). The process is illustrated using a hypothetical water supply system, where direct Monte Carlo simulation is used for estimating the performance indices. The reliability of water supply to consumers varies spatially, depending on their respective locations in the system and system configuration. The UBI is adopted as a primary index in the identification of critical links for crucial water consumers. A pipe with a relatively large damage probability is likely to have a relatively large UBI, and hence, to be a critical link. The concept of efficient frontier is employed to identify critical links of water supply to crucial water consumers. It is found that a group of links that have the largest UBI individually do not necessarily have the largest group UBI, or be the group of critical links.

Suggested Citation

  • Wang, Yu & Au, Siu-Kui, 2009. "Spatial distribution of water supply reliability and critical links of water supply to crucial water consumers under an earthquake," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 534-541.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:2:p:534-541
    DOI: 10.1016/j.ress.2008.06.012
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    References listed on IDEAS

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    1. Adachi, Takao & Ellingwood, Bruce R., 2008. "Serviceability of earthquake-damaged water systems: Effects of electrical power availability and power backup systems on system vulnerability," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 78-88.
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    Cited by:

    1. Jia, Rui & Du, Kun & Song, Zhigang & Xu, Wei & Zheng, Feifei, 2024. "Scenario reduction-based simulation method for efficient serviceability assessment of earthquake-damaged water distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    2. Sungsik Yoon & Young-Joo Lee & Hyung-Jo Jung, 2021. "Flow-based seismic risk assessment of a water transmission network employing probabilistic seismic hazard analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1231-1254, January.
    3. Guidotti, Roberto & Gardoni, Paolo & Rosenheim, Nathanael, 2019. "Integration of physical infrastructure and social systems in communities’ reliability and resilience analysis," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 476-492.
    4. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2022. "A demand-based framework for resilience assessment of multistate networks under disruptions," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    5. Morshedi, Mohamad Ali & Kashani, Hamed, 2022. "Assessment of vulnerability reduction policies: Integration of economic and cognitive models of decision-making," Reliability Engineering and System Safety, Elsevier, vol. 217(C).

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