IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12137-d1213057.html
   My bibliography  Save this article

A Quantitative Evaluation Model for the Seismic Resilience of Water Supply Systems Based on Fragility Analysis

Author

Listed:
  • Houli Wu

    (Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
    Key Laboratory of Earthquake Disaster Mitigation, Ministry of Emergency Management, Harbin 150080, China)

  • Endong Guo

    (Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
    Key Laboratory of Earthquake Disaster Mitigation, Ministry of Emergency Management, Harbin 150080, China)

  • Peilei Yan

    (Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
    Key Laboratory of Earthquake Disaster Mitigation, Ministry of Emergency Management, Harbin 150080, China)

  • Jingyi Liu

    (Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
    Key Laboratory of Earthquake Disaster Mitigation, Ministry of Emergency Management, Harbin 150080, China)

Abstract

A quantitative evaluation model is proposed to assess the seismic resilience of water supply systems. The water supply system is divided into three parts: water sources, aboveground infrastructures, and underground pipeline network, and importance factors for the different parts are quantified. Resilience demand is expressed as the desirable functionality loss and the recovery time of the water supply system after an earthquake. First, seismic fragility models are established for the different components of the water supply system. A water quality index is utilized to represent the impact of earthquakes on the water sources, the seismic performances of aboveground infrastructures are represented by fragility curves, and the repair rate in terms of number of repairs per kilometer is adopted for the pipeline network. Then, the post-earthquake functionality of the water supply system is quantified based on seismic fragility analysis. Changes in the water quality index are used to indicate the functionality losses related to water sources, the functionality losses of aboveground infrastructures are represented by the economic losses derived from component fragility curves, and post-earthquake functionality losses in the underground pipeline network are quantified by hydraulic simulations. The functionalities of the three parts are calculated separately, and then the overall system functionalities are obtained as the sum of the weighted functionalities of the three parts. Finally, a repair strategy is developed and the recovery time is calculated considering the system damage scenarios, system functionality analyses, and resource reserves. The proposed resilience assessment model considers all components of the water supply system, and the results are reliable when the basic information is complete and accurate.

Suggested Citation

  • Houli Wu & Endong Guo & Peilei Yan & Jingyi Liu, 2023. "A Quantitative Evaluation Model for the Seismic Resilience of Water Supply Systems Based on Fragility Analysis," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12137-:d:1213057
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12137/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/16/12137/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    2. Liu, Wei & Song, Zhaoyang & Ouyang, Min & Li, Jie, 2020. "Recovery-based seismic resilience enhancement strategies of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    3. Terje Aven, 2011. "On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 515-522, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Bofan & Zhang, Lin & Zhang, Bo & Xiang, Yang & An, Lei & Wang, Wenfeng, 2022. "Complex equipment system resilience: Composition, measurement and element analysis," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    2. Yifan Yang & S. Thomas Ng & Frank J. Xu & Martin Skitmore & Shenghua Zhou, 2019. "Towards Resilient Civil Infrastructure Asset Management: An Information Elicitation and Analytical Framework," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    3. Almoghathawi, Yasser & Barker, Kash & Albert, Laura A., 2019. "Resilience-driven restoration model for interdependent infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 12-23.
    4. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    6. Yang, Bofan & Zhang, Lin & Zhang, Bo & Wang, Wenfeng & Zhang, Minglinag, 2021. "Resilience Metric of Equipment System: Theory, Measurement and Sensitivity Analysis," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    8. Terje Aven, 2019. "The Call for a Shift from Risk to Resilience: What Does it Mean?," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1196-1203, June.
    9. Armando López‐Cuevas & José Ramírez‐Márquez & Gildardo Sanchez‐Ante & Kash Barker, 2017. "A Community Perspective on Resilience Analytics: A Visual Analysis of Community Mood," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1566-1579, August.
    10. Mingyu Chen & Huapu Lu, 2020. "Analysis of Transportation Network Vulnerability and Resilience within an Urban Agglomeration: Case Study of the Greater Bay Area, China," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    11. Patriarca, Riccardo & Simone, Francesco & Di Gravio, Giulio, 2022. "Modelling cyber resilience in a water treatment and distribution system," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    12. Adrian J. Hickford & Simon P. Blainey & Alejandro Ortega Hortelano & Raghav Pant, 2018. "Resilience engineering: theory and practice in interdependent infrastructure systems," Environment Systems and Decisions, Springer, vol. 38(3), pages 278-291, September.
    13. Hu, Jinqiu & Khan, Faisal & Zhang, Laibin, 2021. "Dynamic resilience assessment of the Marine LNG offloading system," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    14. Gu, Yu & Fu, Xiao & Liu, Zhiyuan & Xu, Xiangdong & Chen, Anthony, 2020. "Performance of transportation network under perturbations: Reliability, vulnerability, and resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    15. Nicholas B. Rajkovich & Yasmein Okour, 2019. "Climate Change Resilience Strategies for the Building Sector: Examining Existing Domains of Resilience Utilized by Design Professionals," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    16. Xiaobing Yu & Hong Chen & Chenliang Li, 2019. "Evaluate Typhoon Disasters in 21st Century Maritime Silk Road by Super-Efficiency DEA," IJERPH, MDPI, vol. 16(9), pages 1-10, May.
    17. Trucco, Paolo & Petrenj, Boris, 2023. "Characterisation of resilience metrics in full-scale applications to interdependent infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    18. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    19. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & Small, Michael & Li, Man, 2023. "Improving resilience of high-speed train by optimizing repair strategies," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    20. Bucar, Raif C.B. & Hayeri, Yeganeh M., 2020. "Quantitative assessment of the impacts of disruptive precipitation on surface transportation," Reliability Engineering and System Safety, Elsevier, vol. 203(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12137-:d:1213057. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.