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Analysis of the global tsunami data for vulnerability and risk assessment

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  • N. Nirupama

Abstract

For the assessment of tsunami risk and vulnerability, one has to make use of past tsunami observations. The most comprehensive tsunami databases for the world have been prepared by the National Geophysical Data Center of USA which are listed on their website for all the four oceans as well as the following marginal seas: Caribbean Sea, Mediterranean Sea, Black Sea, Red Sea and Gulf of Mexico. The dataset goes back as far as the first century AD and lists the events on a confidence rating scale of 0–4; 0 being an erroneous entry and 4 being a definite tsunami. Based on these various datasets for different geographical areas, a comprehensive global dataset was prepared in this study, which included only tsunami events with confidence rating of 3 and 4, meaning either probable or definite. In this composite and abridged global tsunami database there is no distinction either according to geography or tsunami strength as implied by its impact on the coast. A simple and straightforward statistical analysis suggests an almost complete randomness and no patterns that can be used for future tsunami predictions with a few minor exceptions. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • N. Nirupama, 2009. "Analysis of the global tsunami data for vulnerability and risk assessment," 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. 48(1), pages 11-16, January.
  • Handle: RePEc:spr:nathaz:v:48:y:2009:i:1:p:11-16
    DOI: 10.1007/s11069-008-9243-5
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    Cited by:

    1. Sergio Freire & Christoph Aubrecht & Stephanie Wegscheider, 2013. "Advancing tsunami risk assessment by improving spatio-temporal population exposure and evacuation modeling," 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(3), pages 1311-1324, September.
    2. Tomoyuki Takabatake & Tomoya Shibayama & Miguel Esteban & Hidenori Ishii, 2018. "Advanced casualty estimation based on tsunami evacuation intended behavior: case study at Yuigahama Beach, Kamakura, Japan," 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(3), pages 1763-1788, July.

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