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Multi-hazard model for developing countries

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  • Gustavo Barrantes

    (Universidad Nacional)

Abstract

Disaster risk assessment related to natural events has generally been carried out separately by specialists in each area of earth sciences, which has two negative consequences: Firstly, results of investigations are presented in different formats, mainly maps, which differ significantly from each other in aspects such as scale, symbols and units; secondly, it is common for an area or territory to contain several hazards that can potentially interact with each other, generating cascade effects or synergies. While some authors have proposed a multi-hazard analysis framework based on the use of probabilities, the quality and quantity of data required for this approach are rarely available in developing countries. Qualitative methods, on the other hand, have traditionally been limited to overlapping maps, without considering possible spatial interactions. Given the importance of integrated assessment of natural hazards for land use planning and risk management, this article proposes a heuristic multi-hazard model appropriate for developing countries, based on a standardization of classifications and a spatial interaction matrix between hazards. The model can be adjusted to be applied at different scales and in different territories; to demonstrate its versatility, it is applied to the municipality of Poás, Costa Rica, a territory with multiple natural hazards.

Suggested Citation

  • Gustavo Barrantes, 2018. "Multi-hazard model for developing countries," 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. 92(2), pages 1081-1095, June.
  • Handle: RePEc:spr:nathaz:v:92:y:2018:i:2:d:10.1007_s11069-018-3239-6
    DOI: 10.1007/s11069-018-3239-6
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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.
    2. Melanie Kappes & Margreth Keiler & Kirsten Elverfeldt & Thomas Glade, 2012. "Challenges of analyzing multi-hazard risk: a review," 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. 64(2), pages 1925-1958, November.
    3. Maxx Dilley & Robert S. Chen & Uwe Deichmann & Arthur L. Lerner-Lam & Margaret Arnold, 2005. "Natural Disaster Hotspots: A Global Risk Analysis," World Bank Publications - Books, The World Bank Group, number 7376, December.
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    Cited by:

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    2. M. Shafi Bhat & Amir Ali Khan & Mohmad Akbar & Sumira Mir, 2023. "Disaster-development interface and its impact on emerging vulnerability scenario in Ladakh region of northwestern Himalayas," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 13(2), pages 253-270, June.
    3. Vahedberdi Sheikh & Aiding Kornejady & Majid Ownegh, 2019. "Application of the coupled TOPSIS–Mahalanobis distance for multi-hazard-based management of the target districts of the Golestan Province, Iran," 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. 96(3), pages 1335-1365, April.
    4. Xilin Liu & Huizhu Chen, 2020. "Regional assessment on ecological risk of ecosystems under natural hazards: an application in Guangdong Province (SE 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. 100(1), pages 205-229, January.

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