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Mapping Disastrous Natural Hazards Using Global Datasets

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  • P. PEDUZZI
  • H. HEROLD

Abstract

The increased interest for categorising countries at risk calls for an improved methodology allowing comparison of natural hazard impacts at a global level. A disaster is the intersection between a hazardous event, the elements at risk (population, infrastructures) and their vulnerability. In order to associate reported impacts with affected elements and socio-economic or geophysical contextual parameters, geographical location and extent of hazards is needed. The scope of this paper is to present improved automated procedures for a rapid mapping of large disastrous hazard events (floods, earthquakes, cyclones and volcanoes) using Geographical Information Systems (GIS) and available global datasets. Up to 82% of the events and 88% of the reported victims could be geo-referenced and the results highlight both the potentialities and limitations of the methods applied. Copyright Springer 2005

Suggested Citation

  • P. Peduzzi & H. Herold, 2005. "Mapping Disastrous Natural Hazards Using Global Datasets," 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. 35(2), pages 265-289, June.
    • Handle: RePEc:spr:nathaz:v:35:y:2005:i:2:p:265-289
    DOI: 10.1007/s11069-004-5703-8
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    Citations

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    Cited by:

    1. Matthias Künzler & Christian Huggel & Juan Ramírez, 2012. "A risk analysis for floods and lahars: case study in the Cordillera Central of Colombia," 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(1), pages 767-796, October.
    2. José Barredo, 2007. "Major flood disasters in Europe: 1950–2005," 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. 42(1), pages 125-148, July.
    3. Burgherr, Peter & Hirschberg, Stefan, 2008. "Severe accident risks in fossil energy chains: A comparative analysis," Energy, Elsevier, vol. 33(4), pages 538-553.
    4. Arief Anshory Yusuf & Herminia Francisco, 2009. "Climate Change Vulnerability Mapping for Southeast Asia," EEPSEA Special and Technical Paper tp200901s1, Economy and Environment Program for Southeast Asia (EEPSEA), revised Jan 2009.
    5. David Strömberg, 2007. "Natural Disasters, Economic Development, and Humanitarian Aid," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 199-222, Summer.
    6. Jin‐Feng Wang & Lian‐Fa Li, 2008. "Improving Tsunami Warning Systems with Remote Sensing and Geographical Information System Input," Risk Analysis, John Wiley & Sons, vol. 28(6), pages 1653-1668, December.
    7. Shen, Guoqiang & Zhou, Long & Xue, Xianwu & Zhou, Yu, 2023. "The risk impacts of global natural and technological disasters," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    8. Yong SHI, 2018. "Assessment of Agricultural Vulnerability to Floods in Shanghai by the DEA Method," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-11, March.
    9. Christian Geiß & Hannes Taubenböck, 2013. "Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap," 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. 68(1), pages 7-48, August.
    10. Guoqiang Shen & Long Zhou & Yao Wu & Zhiming Cai, 2018. "A Global Expected Risk Analysis of Fatalities, Injuries, and Damages by Natural Disasters," Sustainability, MDPI, vol. 10(7), pages 1-17, July.

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