Heterogeneous Mixture Distributions for Modeling Multisource Extreme Rainfalls
Heterogeneous Mixture Distributions for Modeling Multisource Extreme Rainfalls
复制标题
用于模拟多源极端降雨的非均质混合物分布
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
T. Ouarda
中科院分区：
文献类型：
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作者：
Ju;Taesam Lee;T. Ouarda
频率分析已被广泛应用于研究水文气象变量的行为和特征。当多种生成现象导致极端事件发生时，水文气象变量有时会出现混合分布。在这种情况下，应采用混合分布。过去关于混合分布的研究假设它们来自相同的概率密度函数。事实上，许多水文气象变量可以由不同类型的概率密度函数组成。对非均质混合物分布的研究可以提高对水文气象变量行为和特征的理解，并提高对它们进行适当建模的能力。在本研究中，发展了非均匀混合分布来模拟极端水文气象事件。为了拟合非均匀混合分布，作者提出了一种扩展的元启发式最大似然方法。参赛者的表现……
AbstractFrequency analysis has been widely applied to investigate the behavior and characteristics of hydrometeorological variables. Hydrometeorological variables occasionally show mixture distributions when multiple generating phenomena cause the extreme events to occur. In such cases, a mixture distribution should be applied. Past studies on mixture distributions assumed that they are drawn from the same probability density functions. In fact, many hydrometeorological variables can consist of different types of probability density functions. Research on heterogeneous mixture distributions can lead to improvements in understanding the behavior and characteristics of hydrometeorological variables and in the capacity to model them properly. In the present study heterogeneous mixture distributions are developed to model extreme hydrometeorological events. To fit heterogeneous mixture distributions, the authors present an extension of the metaheuristic maximum likelihood approach. The performance of the para...