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Prediction of typhoon design wind speed with cholesky decomposition method

机译:利用Colesky分解方法预测台风设计风速

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Typhoon simulation method that integrates typhoon wind field model, probability distributions of typhoon key parameters, and Monte Carlo simulation method has long been used to predict typhoon design wind speeds of structures. In the research, the empirical typhoon wind field model with a novel parameter B model of Holland's radial pressure profile is first introduced and validated with typhoon Hagupit's simulation. The results show that relatively good typhoons can be simulated with this empirical typhoon wind field model. Then, the cholesky decomposition method used in typhoon simulation method is proposed that allows achieving all correlated typhoon key parameters simultaneously. Finally, the cholesky decomposition method is used to generating typhoon key parameters in Hong Kong, and typhoon design wind speeds for different return periods are predicted with typhoon simulation method. In addition, typhoon design wind speeds derived from historical typhoon key parameters and typhoon key parameters generated without considering cholesky decomposition method are also predicted, respectively. The predicted typhoon design wind speeds are compared and the results demonstrate that the cholesky decomposition method should be incorporated into typhoon simulation method.
机译:长期以来,结合台风风场模型,台风关键参数的概率分布以及蒙特卡罗模拟方法的台风模拟方法一直用于预测结构的台风设计风速。在研究中,首先引入了经验性台风风场模型,该模型具有新型的荷兰径向压力分布参数B模型,并通过台风Hagupit的模拟进行了验证。结果表明,利用该经验性台风风场模型可以模拟相对较好的台风。然后,提出了台风模拟方法中使用的cholesky分解方法,该方法可以同时获得所有相关的台风关键参数。最后,利用cholesky分解法生成香港的台风关键参数,并通过台风模拟方法预测了不同返回期的台风设计风速。此外,还分别预测了从历史台风关键参数和不考虑cholesky分解方法生成的台风关键参数得出的台风设计风速。比较了预测的台风设计风速,结果表明,应将cholesky分解方法纳入台风模拟方法中。

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