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Probabilistic urban cascading multi-hazard risk assessment methodology for ground shaking and post-earthquake fires

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  • Tomoaki Nishino

    (Kyoto University)

Abstract

A probabilistic methodology is presented for assessing cascading multi-hazard risk for ground shaking and post-earthquake fires at a regional scale. The proposed methodology focuses on direct economic losses to buildings caused by the combined effect of ground shaking and post-earthquake fires and evaluates the exceedance probability of the regional shaking–fire losses in a predefined future time period by comprehensively considering the effects of various uncertain factors on the losses via Monte Carlo simulations. Probabilistic seismic risk assessments are extended by integrating post-earthquake fire models with seismic activity models, ground motion prediction equations, and seismic fragility functions. The fire models include post-earthquake ignition models, a weather model, a physics-based urban fire spread model, and a fire brigade response model. This integrated modeling enables the incorporation of the following uncertain factors with causal relationships into the assessments: earthquake occurrence, ground motion intensity distribution, damage to buildings resulting from ground shaking, post-earthquake ignition occurrence and occupant firefighting, weather condition, fire brigade response time including time to detection, and damage to buildings resulting from post-earthquake urban fire spread. To demonstrate the methodology, a realistic case study is conducted for a historical urban area with closely spaced wooden buildings in Kyoto, Japan, focusing on possible large earthquakes along major active faults. Contrary to conventional single-hazard approaches, the results highlight the impact of multi-hazard consideration on risk assessments. This indicates that the methodology can be a useful tool for more appropriately understanding earthquake risk and promoting risk-informed decision-making in urban communities for risk reduction.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:nathaz:v:116:y:2023:i:3:d:10.1007_s11069-022-05802-0
    DOI: 10.1007/s11069-022-05802-0
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Babak Omidvar & Hamid Karimi Kivi, 2016. "Multi-hazard failure probability analysis of gas pipelines for earthquake shaking, ground failure and fire following earthquake," 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. 82(1), pages 703-720, May.
    4. Maxwell Coar & Amir Sarreshtehdari & Maria Garlock & Negar Elhami Khorasani, 2021. "Methodology and challenges of fire following earthquake analysis: an urban community study considering water and transportation networks," 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(1), pages 1-31, October.
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