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Rainfall frequency analysis using a mixed GEV distribution: a case study for annual maximum rainfalls in South Korea

机译:利用混合GEV分布进行降雨频率分析:以韩国年度最大降雨为例

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Extreme rainfalls in South Korea result mainly from convective storms and typhoon storms during the summer. A proper way for dealing with the extreme rainfalls in hydrologic design is to consider the statistical characteristics of the annual maximum rainfall from two different storms when determining design rainfalls. Therefore, this study introduced a mixed generalized extreme value (GEV) distribution to estimate the rainfall quantile for 57 gauge stations across South Korea and compared the rainfall quantiles with those from conventional rainfall frequency analysis using a single GEV distribution. Overall, these results show that the mixed GEV distribution allows probability behavior to be taken into account during rainfall frequency analysis through the process of parameter estimation. The resulting rainfall quantile estimates were found to be significantly smaller than those determined using a single GEV distribution. The difference of rainfall quantiles was found to be closely correlated with the occurrence probability of typhoon and the distribution parameters.
机译:韩国的极端降雨主要来自夏季的对流风暴和台风风暴。处理水文设计中极端降雨的一种适当方法是,在确定设计降雨时,应考虑两次不同风暴造成的年度最大降雨的统计特征。因此,本研究引入了混合广义极值(GEV)分布来估算韩国57个标准站的降雨量分位数,并将降雨量分位数与使用单个GEV分布的常规降雨频率分析的降雨量分位数进行了比较。总体而言,这些结果表明,混合GEV分布允许在通过参数估计过程进行降雨频率分析时考虑概率行为。发现最终的降雨分位数估算值明显小于使用单个GEV分布确定的估算值。发现降雨分位数的差异与台风的发生概率和分布参数密切相关。

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