Typhoon disaster in China: prediction, prevention, and mitigation
Typhoon-induced disaster is one of the most important factors influencing the economic development and more than 250 million in China. In view of the existing state of typhoon disaster prediction, prevention, and mitigation, this paper proposes a new probability model, Multivariate Compound Extreme Value Distribution (MCEVD), to predict typhoon-induced extreme disaster events. This model establishes prevention criteria for coastal areas, offshore structures, and estuarine cities, and provides an appropriate mitigation scheme for disaster risk management and decision-making. Copyright Springer Science+Business Media B.V. 2009
Year of publication: |
2009
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Authors: | Liu, Defu ; Pang, Liang ; Xie, Botao |
Published in: |
Natural Hazards. - International Society for the Prevention and Mitigation of Natural Hazards. - Vol. 49.2009, 3, p. 421-436
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Publisher: |
International Society for the Prevention and Mitigation of Natural Hazards |
Subject: | Typhoon disaster | Multivariate Compound Extreme Value Distribution | Prediction | Prevention criteria |
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