首页|二项-广义Pareto复合模型的极端海况要素推算

二项-广义Pareto复合模型的极端海况要素推算

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在复合极值分布理论的基础上,构造基于短期观测样本的二项-广义Pareto复合极值分布模型,并应用于极端海况要素推算.结果表明:二项-广义Pareto复合极值分布模型具有良好的拟合效果,能够合理反映极端海况的长期概率分布特征,弥补了传统方法需要长期原始海况数据的缺陷,且模拟结果与采用长期数据资料,利用Gumbel模型、对数正态模型得到的结果相差不大,在预测波高方面有很强的适用性.
Extremesea condition element estimation of binomial-generalized Pareto compound model
Based on the compound extreme value distribution theory,binomial-generalized Pareto com-pound extreme value distribution model based on short-term observation samples was constructed and applied to the prediction of extreme sea condition elements.The results showed that the binomial-gen-eralized Pareto compound extreme value distribution model had good fitting effect,could reasonably re-flect the long-term probability distribution characteristics of extreme sea conditions and made up for the defect of traditional methods need long-term raw sea condition data.The simulation results were simi-lar with the results using long-time data,the Gumbel model and the lognormal model,and had strong applicability in the prediction of wave height.

compound extreme value distributionextreme sea conditionshort-term dataprobabilistic predictiondesign wave

邱玥、庞亮、董胜

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中国海洋大学工程学院,山东青岛 266100

复合极值分布 极端海况 短期资料 概率预测 设计波浪

国家自然科学基金

52171284

2024

海洋湖沼通报
山东海洋湖沼学会

海洋湖沼通报

CSTPCD北大核心
影响因子:0.464
ISSN:1003-6482
年,卷(期):2024.46(1)
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