Valid historical data for probabilistic risk analysis in natural disasters

文献类型： 外文期刊

第一作者： Guo, Jun

作者： Guo, Jun;Huang, Chongfu;Guo, Jun;Huang, Chongfu;Guo, Jun;Huang, Chongfu;Guo, Jun;Huang, Chongfu;Zhao, Sijian

作者机构：

关键词： Probabilistic risk;natural disaster;time series;change-point problem;Mann- Kendall test;valid data;abrupt change test;typhoon

期刊名称：HUMAN AND ECOLOGICAL RISK ASSESSMENT （ 影响因子：5.19； 五年影响因子：3.742 ）

ISSN： 1080-7039

年卷期： 2017 年 23 卷 3 期

页码：

收录情况： SCI

摘要： With the changes in the nature and the society, risks will inevitably change. It implies that, with the passage of time, some historical data would be invalid for probabilistic risk analysis. In this paper, a model to acquire the valid data is suggested, which is based on the Mann- Kendall test to detect abrupt change-point on time series data. What's more, the typhoon risk analysis in Guangdong Province, China is used as a case study to show how to apply the model. The valid data of the intensities of typhoons and the related losses in the province for the probabilistic risk analysis is obtained from the data during the time from 1984 to 2012. Comparing with the results based on the set of invalid data and the set of all collected data, the assessed risk based on the valid data is more reliable, which could reflect the dynamics of the typhoon risk.

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