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A Framework of Identifying Critical Water Distribution Pipelines from Recovery Resilience

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  • Xiang He

    (Dalian University of Technology)

  • Yongbo Yuan

    (Dalian University of Technology)

Abstract

Identifying critical facilities in a water distribution system (WDS) from the standpoint of recovery resilience is significant for emergency inspection and restoration when a large-scale system disruption occurs. Taking a damaged pipeline into account, this paper proposes a framework for realizing criticality identification. The priority with which a damaged pipeline needs to be restored to minimize WDS service loss and the impact of delaying such priority on the loss of service are taken as criticality metrics. To acquire two metric values for each pipeline, a WDS recovery optimization problem, which integrates mechanical repair measures with hydraulic simulation, aimed at minimizing system service loss, is proposed and then solved by a genetic algorithm. Given the stochasticity of disruptions on a WDS, critical pipelines are identified by a stochastic scoring method, based on the statistical distribution of the two metrics obtained by stochastic sampling. An application of the framework to a case study of a WDS with simulated disruption scenarios distinguished pipelines critical to effective infrastructure restoration. Compared with models using network centrality and vulnerability-based metrics, the framework proposes a more reasonable way to measure facility criticality in terms of recovery resilience.

Suggested Citation

  • Xiang He & Yongbo Yuan, 2019. "A Framework of Identifying Critical Water Distribution Pipelines from Recovery Resilience," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3691-3706, September.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:11:d:10.1007_s11269-019-02328-2
    DOI: 10.1007/s11269-019-02328-2
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    References listed on IDEAS

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    Cited by:

    1. Ram Kailash Prasad, 2021. "Identification of Critical Pipes for Water Distribution Network Rehabilitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5187-5204, December.
    2. Canbilen Sütiçen, Tuğçe & Batun, Sakine & Çelik, Melih, 2023. "Integrated reinforcement and repair of interdependent infrastructure networks under disaster-related uncertainties," European Journal of Operational Research, Elsevier, vol. 308(1), pages 369-384.
    3. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    4. Ardalan Izadi & Farhad Yazdandoost & Roza Ranjbar, 2020. "Asset-Based Assessment of Resiliency in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1407-1422, March.
    5. Gal Perelman & Barak Fishbain, 2022. "Critical Elements Analysis of Water Supply Systems to Improve Energy Efficiency in Failure Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3797-3811, August.
    6. Milan Stojković & Ana Mijić & Barnaby Dobson & Dušan Marjanović & Brankica Majkić-Dursun, 2024. "Novel Perspectives on Environmental Dynamic Resilience: Adapting Urban Water Systems to a Changing Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(12), pages 4455-4472, September.
    7. Mingyuan Zhang & Juan Zhang & Gang Li & Yuan Zhao, 2020. "A Framework for Identifying the Critical Region in Water Distribution Network for Reinforcement Strategy from Preparation Resilience," Sustainability, MDPI, vol. 12(21), pages 1-17, November.

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