Probability Distribution Characteristics of Strong Nonlinear Waves Under Typhoon Conditions in the Northern South China Sea

作     者：GONG Yijie XIE Botao FU Dianfu WANG Zhifeng PANG Liang GONG Yijie;XIE Botao;FU Dianfu;WANG Zhifeng;PANG Liang

作者机构：College of EngineeringOcean University of ChinaQingdao 266100China CNOOC Research Institute Ltd.Beijing 100028China 

出 版 物：《Journal of Ocean University of China》 (中国海洋大学学报（英文版）)

年 卷 期：2024年第23卷第3期

页      面：583-593页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：financially supported by the National Key R&D Program of China(No.2022YFC3104205) the National Natural Science Foundation of China(No.42377457) 

主　　题：strong nonlinear wave typhoon wave series probability distribution model exceedance probability 

摘      要：The generation and propagation mechanism of strong nonlinear waves in the South China Sea is an essential research area. In this study, the third-generation wave model WAVEWATCH Ⅲ is employed to simulate wave fields under extreme sea states. The model, integrating the ST6 source term, is validated against observed data, demonstrating its credibility. The spatial distribution of the occurrence probability of strong nonlinear waves during typhoons is shown, and the waves in the straits and the northeastern part of the South China Sea show strong nonlinear characteristics. The high-order spectral model HOS-ocean is employed to simulate the random wave surface series beneath five different platform areas. The waves during the typhoon exhibit strong nonlinear characteristics, and freak waves exist. The space-varying probability model is established to describe the short-term probability distribution of nonlinear wave series. The exceedance probability distributions of the wave surface beneath different platform areas are compared and analyzed. The results show that with an increase in the platform area, the probability of a strong nonlinear wave beneath the platform increases.