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基于多变量灰色模型的台风强度模拟方法OACSTPCD

Simulation Method of Typhoon Intensity Based on Multivariate Grey Model

中文摘要英文摘要

随着台风全路径模拟技术的不断完善,全海域、大范围的台风危险性分析方法得到发展,然而强度模型的模拟精度不能满足需求.针对台风强度演变受多因素影响、动力关系复杂及强度变化随机性强的特点,基于多变量灰色模型对台风强度模拟方法进行研究,并建立起台风多变量灰色强度模型.利用该模型还原了台风"山竹"的强度演变过程,同时对西北太平洋地区整体台风强度进行模拟及检验分析.结果表明:垂直风切变及垂直速度与台风强度的灰色关联度分别为0.771 8、0.745 1,显著高于其他3 个环境因素;台风"山竹"强度模拟的后验差比值及小概率误差分别为0.349 1、0.960 8,达到了最高模拟精度;模型模拟所得西北太平洋地区整体的强度变化趋势及分布特征均与地区实际情况保持一致.

With the continuous improvement of typhoon full-path simulation technology,the typhoon hazard analysis method for the whole sea area and a wide range has been developed.However,the simulation accuracy of the intensity model cannot meet the demand.Aiming at the characteristics of typhoon intensity evolution affected by multiple factors,complex dynamic relationship and strong randomness of intensity change,the simulation method of typhoon intensity is studied based on multivariate grey model,and the multivariate grey intensity model of typhoon is established.Using this model,the intensity evolution process of Typhoon Mangkhut is restored,and the overall typhoon intensity in the northwest Pacific region is simulated and tested.The results show that the grey correlation degrees of vertical wind shear and vertical velocity with typhoon intensity are 0.771 8 and 0.745 1,respectively,which are significantly higher than those of the other three environmental factors.The posterior error ratio and small probability error of Typhoon Mangkhut intensity simulation are 0.349 1 and 0.960 8,respectively,which reach the highest simulation accuracy.The overall intensity change trend and distribution characteristics of the northwest Pa-cific region obtained by the model simulation are consistent with the actual situation in the region.

孙建鹏;郑仕豪;马萧岗;黄文锋

西安建筑科技大学 土木工程学院,陕西 西安 710055合肥工业大学 土木与水利工程学院,安徽 合肥 230009

环境科学

极值风速强度模型灰色关联度台风"山竹"西北太平洋

extreme wind speedtyphoon intensity modelgrey relativitytyphoon Mangkhutnorthwest Pa-cific

《灾害学》 2024 (001)

强震作用下基于多尺度模型的超高墩大跨连续刚构桥动力失稳灾变机理研究

17-22 / 6

国家自然科学基金项目(51408453);陕西省自然科学基金面上项目(2023-JY-YB-373、2020JM-475)

10.3969/j.issn.1000-811X.2024.01.004

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