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Long-term multi-risk assessment: statistical treatment of interaction among risks

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  • Jacopo Selva

Abstract

Multi-risk approaches have been recently proposed to assess and compare different risks in the same target area. The key points of multi-risk assessment are the development of homogeneous risk definitions and the treatment of risk interaction. The lack of treatment of interaction may lead to significant biases and thus to erroneous risk hierarchization, which is one of primary output of risk assessments for decision makers. In this paper, a formal statistical model is developed to treat interaction between two different hazardous phenomena in long-term multi-risk assessments, accounting for possible effects of interaction at hazard, vulnerability and exposure levels. The applicability of the methodology is demonstrated through two illustrative examples, dealing with the influence of (1) volcanic ash in seismic risk and (2) local earthquakes in tsunami risk. In these applications, the bias in single-risk estimation induced by the assumption of independence among risks is explicitly assessed. An extensive application of this methodology at regional and sub-regional scale would allow to identify when and where a given interaction has significant effects in long-term risk assessments, and thus, it should be considered in multi-risk analyses and risks hierarchization. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Jacopo Selva, 2013. "Long-term multi-risk assessment: statistical treatment of interaction among risks," 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. 67(2), pages 701-722, June.
  • Handle: RePEc:spr:nathaz:v:67:y:2013:i:2:p:701-722
    DOI: 10.1007/s11069-013-0599-9
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    References listed on IDEAS

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    1. Warner Marzocchi & Alexander Garcia-Aristizabal & Paolo Gasparini & Maria Mastellone & Angela Di Ruocco, 2012. "Basic principles of multi-risk assessment: a case study in Italy," 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. 62(2), pages 551-573, June.
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    1. Shaohong Wu & Jing Jin & Tao Pan, 2015. "Empirical seismic vulnerability curve for mortality: case study of China," 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. 77(2), pages 645-662, June.
    2. Arnaud Mignan & Stefan Wiemer & Domenico Giardini, 2014. "The quantification of low-probability–high-consequences events: part I. A generic multi-risk approach," 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. 73(3), pages 1999-2022, September.
    3. Johnson, Caroline A. & Flage, Roger & Guikema, Seth D., 2021. "Feasibility study of PRA for critical infrastructure risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    4. Dylan Sanderson & Sabarethinam Kameshwar & Nathanael Rosenheim & Daniel Cox, 2021. "Deaggregation of multi-hazard damages, losses, risks, and connectivity: an application to the joint seismic-tsunami hazard at Seaside, Oregon," 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. 109(2), pages 1821-1847, November.
    5. Pitilakis, Kyriazis & Argyroudis, Sotiris & Fotopoulou, Stavroula & Karafagka, Stella & Kakderi, Kalliopi & Selva, Jacopo, 2019. "Application of stress test concepts for port infrastructures against natural hazards. The case of Thessaloniki port in Greece," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 240-257.
    6. Qiao, Wanguan, 2021. "Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    7. Tomoaki Nishino, 2023. "Probabilistic urban cascading multi-hazard risk assessment methodology for ground shaking and post-earthquake fires," 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. 116(3), pages 3165-3200, April.
    8. Sotirios A. Argyroudis & Stavroula Fotopoulou & Stella Karafagka & Kyriazis Pitilakis & Jacopo Selva & Ernesto Salzano & Anna Basco & Helen Crowley & Daniela Rodrigues & José P. Matos & Anton J. Schle, 2020. "A risk-based multi-level stress test methodology: application to six critical non-nuclear infrastructures in Europe," 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. 100(2), pages 595-633, January.
    9. Liu, Zengkai & Ma, Qiang & Cai, Baoping & Shi, Xuewei & Zheng, Chao & Liu, Yonghong, 2022. "Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).

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    Keywords

    Multi-risk; Multi-hazard;

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