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使用非静态极端值模型量化孟加拉国两个主要城市的极端降雨情况

Asim K Dey1, Mohammad Shaha A Patwary2

  • 1Department of Mathematics and Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, 79409 Texas USA.

Stochastic environmental research and risk assessment : research journal
|June 27, 2025
PubMed
概括

孟加拉国因气候变化而面临极端降雨和洪水. 这项研究使用了一个非静止的通用极值 (GEV) 模型与温度数据来更好地预测严重的季风降雨,在Chattogram中发现了更高的风险.

关键词:
区块最大值的方法.启动过程的信心区间.极端的降雨情况.极端情况的概率.收益水平 收益水平

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