Typhoon disaster in China: prediction, prevention, and mitigation

Publication Date June 1, 2009
Author D LiuL PangB Xie
Countries :
Disaster Management Theme -
Disaster Type Tropical Cyclone
Document Type Research Paper
Languange English

Abstact :
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.
The ASEAN Disaster Information Network (ADINet) is a repository of information concerning hazards and disasters that have happened in the region. The platform is open for public, which means that the public can submit information about any hazard and disaster to the AHA Centre. Thereafter, the AHA Centre will verify and validate any submitted information to ensure the accuracy of the data inputs. The AHA Centre can also add new information when relevant and as necessary. ADINET has been recording disaster information in the region since the AHA Centre was operational in 2012.

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