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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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    as
    1. Xiao, Yang-Hua & Wu, Wen-Tao & Wang, Hui & Xiong, Momiao & Wang, Wei, 2008. "Symmetry-based structure entropy of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2611-2619.
    2. Fei Wang & Xia-zhong Zheng & Shu Chen & Jian-Lan Zhou, 2017. "Emergency Repair Scope Partition of City Water Distribution Network: a Novel Approach Considering the Node Importance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3779-3794, September.
    3. Shuang, Qing & Zhang, Mingyuan & Yuan, Yongbo, 2014. "Node vulnerability of water distribution networks under cascading failures," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 132-141.
    4. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    5. M. E. Bruni & P. Beraldi & D. Conforti, 2017. "Water distribution networks design under uncertainty," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 111-126, April.
    6. Quan Mao & Nan Li, 2018. "Assessment of the impact of interdependencies on the resilience of networked critical infrastructure systems," 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. 93(1), pages 315-337, August.
    7. Symeon Christodoulou, 2011. "Water Network Assessment and Reliability Analysis by Use of Survival Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(4), pages 1229-1238, March.
    8. Agathoklis Agathokleous & Chrystalleni Christodoulou & Symeon E. Christodoulou, 2017. "Topological Robustness and Vulnerability Assessment of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 4007-4021, September.
    9. Jorge Pinto & Humberto Varum & Isabel Bentes & Jitendra Agarwal, 2010. "A Theory of Vulnerability of Water Pipe Network (TVWPN)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4237-4254, December.
    10. Palleti, Venkata Reddy & Joseph, Jude Victor & Silva, Arlindo, 2018. "A contribution of axiomatic design principles to the analysis and impact of attacks on critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 23(C), pages 21-32.
    11. Juan Wen & Yanghong Tan & Lin Jiang, 2016. "A Reconfiguration Strategy of Distribution Networks Considering Node Importance," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-19, December.
    12. Agathoklis Agathokleous & Symeon Christodoulou, 2016. "Vulnerability of Urban Water Distribution Networks under Intermittent Water Supply Operations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4731-4750, October.
    13. Yungyu Chang & Gyewoon Choi & Juhwan Kim & Seongjoon Byeon, 2018. "Energy Cost Optimization for Water Distribution Networks Using Demand Pattern and Storage Facilities," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    14. Zarghami, Seyed Ashkan & Gunawan, Indra & Schultmann, Frank, 2018. "Integrating entropy theory and cospanning tree technique for redundancy analysis of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 102-112.
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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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