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A universal severity classification for natural disasters

Author

Listed:
  • H. Jithamala Caldera

    (University of Calgary)

  • S. C. Wirasinghe

    (University of Calgary)

Abstract

The magnitude of a disaster’s severity cannot be easily assessed because there is no global method that provides real magnitudes of natural disaster severity levels. Therefore, a new universal severity classification scheme for natural disasters is developed and is supported by data. This universal system looks at the severity of disasters based on the most influential impact factor and gives a rating from zero to ten: Zero indicates no impact and ten is a worldwide devastation. This universal system is for all types of natural disasters, from lightning strikes to super-volcanic eruptions and everything in between, that occur anywhere in the world at any time. This novel universal severity classification system measures, describes, compares, rates, ranks, and categorizes impacts of disasters quantitatively and qualitatively. The severity index is useful to diverse stakeholder groups, including policy makers, governments, responders, and civilians, by providing clear definitions that help convey the severity levels or severity potential of a disaster. Therefore, this universal system is expected to avoid inconsistencies and to connect severity metrics to generate a clear perception of the degree of an emergency; the system is also expected to improve mutual communication among stakeholder groups. Consequently, the proposed universal system will generate a common communication platform and improve understanding of disaster risk, which aligns with the priority of the Sendai Framework for Disaster Risk Reduction 2015–2030. This research was completed prior to COVID-19, but the pandemic is briefly addressed in the discussion section.

Suggested Citation

  • H. Jithamala Caldera & S. C. Wirasinghe, 2022. "A universal severity classification for natural disasters," 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. 111(2), pages 1533-1573, March.
  • Handle: RePEc:spr:nathaz:v:111:y:2022:i:2:d:10.1007_s11069-021-05106-9
    DOI: 10.1007/s11069-021-05106-9
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    References listed on IDEAS

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    1. H. Jithamala Caldera & S. C. Wirasinghe & Ludo Zanzotto, 2018. "Severity scale for tornadoes," 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. 90(3), pages 1051-1086, February.
    2. Mohammad Ansari Esfeh & H. Jithamala Caldera & Seiran Heshami & Nadia Moshahedi & Sumedha Chandana Wirasinghe, 2016. "The severity of earthquake events -- statistical analysis and classification," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(sup1), pages 4-24, July.
    3. Samanthi Durage & Lina Kattan & S. Wirasinghe & Janaka Ruwanpura, 2014. "Evacuation behaviour of households and drivers during a tornado," 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. 71(3), pages 1495-1517, April.
    4. Colin F. Camerer & Howard Kunreuther, 1989. "Decision processes for low probability events: Policy implications," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 8(4), pages 565-592.
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    2. Hongyan Dui & Kaixin Liu & Shaomin Wu, 2024. "Data-driven reliability and resilience measure of transportation systems considering disaster levels," Annals of Operations Research, Springer, vol. 340(1), pages 217-243, September.

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