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Systemic vulnerability assessment of urban water distribution networks considering failure scenario uncertainty

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  • Wang, Fei
  • Zheng, Xia-zhong
  • Li, Nan
  • Shen, Xuesong

Abstract

Water distribution networks (WDNs) are vital infrastructures in cities. However, reports about urban WDNs incidents that result in major system breakdowns and water outages are not uncommon, which repeatedly highlights the urgency of addressing vulnerability challenges of WDNs. This study aims to propose a new method for system-level, scenario-independent vulnerability assessment of WDNs, which considers the uncertainty in various failures that may happen in the system. The proposed method is developed based on the notion that the vulnerability of WDN is largely determined by its heterogeneity in node importance, which impacts how likely system malfunction or breakdown would happen should a small amount of nodes be attacked. Accordingly, the proposed method uses a set of indicators to measure the functional, structural and overall importance of each node in WDN, and introduces a novel network entropy model to measure the heterogeneity of importance of these nodes. The proposed method then assesses the systemic vulnerability of WDN, by benchmarking its current entropy against the entropies associated with the least and most vulnerable states of the system. The efficacy of the proposed method is demonstrated in a case study, in which the assessment yielded by the proposed method was found theoretically reasonable as well as consistent with actual conditions of the case WDN.

Suggested Citation

  • Wang, Fei & Zheng, Xia-zhong & Li, Nan & Shen, Xuesong, 2019. "Systemic vulnerability assessment of urban water distribution networks considering failure scenario uncertainty," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).
    • Handle: RePEc:eee:ijocip:v:26:y:2019:i:c:s1874548218301793
    DOI: 10.1016/j.ijcip.2019.05.002
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    4. Tornyeviadzi, Hoese Michel & Neba, Fabrice Abunde & Mohammed, Hadi & Seidu, Razak, 2021. "Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach," International Journal of Critical Infrastructure Protection, Elsevier, vol. 34(C).
    5. Yu, Jin-Zhu & Whitman, Mackenzie & Kermanshah, Amirhassan & Baroud, Hiba, 2021. "A hierarchical Bayesian approach for assessing infrastructure networks serviceability under uncertainty: A case study of water distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. Inna Čábelková & Wadim Strielkowski & Frank-Detlef Wende & Raisa Krayneva, 2020. "Factors Influencing the Threats for Urban Energy Networks: The Inhabitants’ Point of View," Energies, MDPI, vol. 13(21), pages 1-19, October.
    7. Zhou, Shenghua & Yang, Yifan & Ng, S. Thomas & Xu, J. Frank & Li, Dezhi, 2020. "Integrating data-driven and physics-based approaches to characterize failures of interdependent infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    8. Jing, Weiwei & Xu, Xiangdong & Pu, Yichao, 2020. "Route redundancy-based approach to identify the critical stations in metro networks: A mean-excess probability measure," Reliability Engineering and System Safety, Elsevier, vol. 204(C).

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