Analysis of Wave Fields under Tropical Cyclones in the South China Sea

被引:1
作者
Sun, Wenxuan [1 ]
Shao, Zhuxiao [1 ]
Liang, Bingchen [1 ,2 ]
Gao, Huijun [1 ]
机构
[1] Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China
[2] Ocean Univ China, Shandong Prov Key Lab Ocean Engn, Qingdao 266100, Peoples R China
关键词
SWAN model; mean and maximal conditions; spatial distribution; South China Sea; MODEL; HEIGHTS; CLIMATE;
D O I
10.2112/SI99-018.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The study of wave fields under extreme weather conditions, such as tropical cyclones, is becoming increasingly important for ocean engineering. In this work, wave simulation under a tropical cyclone is carried out in the South China Sea (SCS). The SWAN model is driven by the blended wind field. In this model, the wind input term and whitecapping dissipation term are specifically studied to obtain a reliable model result. During tropical cyclones Doksuri and Kai-tak in 2012, the waves are simulated in the SCS, and the simulated significant wave heights are validated by the measured data at buoys B1, B2 and B3. The validation results show that the simulated values match the measured values well. By the simulated significant wave heights, the wave field is analyzed during the tropical cyclone. In the mean and maximal conditions, the wave fields are studied with the tropical cyclone track. The maximal significant wave heights at the buoy locations are associated with the corresponding spatial distribution of significant wave heights in the SCS, which can reflect the effect of the tropical cyclone on the wave at a specified point.
引用
收藏
页码:126 / 130
页数:5
相关论文
共 21 条
  • [1] A third-generation wave model for coastal regions - 1. Model description and validation
    Booij, N
    Ris, RC
    Holthuijsen, LH
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1999, 104 (C4) : 7649 - 7666
  • [2] Joint probability analysis of extreme wave heights and surges along China's coasts
    Chen, Yongping
    Li, Jiangxia
    Pan, Shunqi
    Gan, Min
    Pan, Yi
    Xie, Dongmei
    Clee, Stephen
    [J]. OCEAN ENGINEERING, 2019, 177 : 97 - 107
  • [3] Wave energy analysis based on simulation wave data in the China Sea
    Gao, Zhan-sheng
    Qian, Yu-hao
    Sui, Yu-wei
    Chen, Xuan
    Zhang, Da
    [J]. 2018 2ND INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2018), 2018, 153
  • [4] A study on the relationships between the wave height and the El Nio in the north area of the South China Sea
    Han Shuzong
    Fan Yongbin
    Dong Yangyang
    Wu Shuangquan
    [J]. ACTA OCEANOLOGICA SINICA, 2017, 36 (05) : 44 - 50
  • [5] Hasselmann K., 1974, Boundary-Layer Meteorology, V6, P107, DOI 10.1007/BF00232479
  • [6] HASSELMANN S, 1988, J PHYS OCEANOGR, V18, P1775
  • [7] Modelling of Extreme Wave Climate in China Seas
    Li, Jiangxia
    Chen, Yongping
    Pan, Shunqi
    [J]. JOURNAL OF COASTAL RESEARCH, 2016, : 522 - 526
  • [8] Characteristics of global waves based on the third-generation wave model SWAN
    Liang, Bingchen
    Gao, Huijun
    Shao, Zhuxiao
    [J]. MARINE STRUCTURES, 2019, 64 : 35 - 53
  • [9] An automated threshold selection method based on the characteristic of extrapolated significant wave heights
    Liang, Bingchen
    Shao, Zhuxiao
    Li, Huajun
    Shao, Meng
    Lee, Dongyoung
    [J]. COASTAL ENGINEERING, 2019, 144 : 22 - 32
  • [10] New equations of wave energy assessment accounting for the water depth
    Liang, Bingchen
    Shao, Zhuxiao
    Wu, Guoxiang
    Shao, Meng
    Sun, Jinwei
    [J]. APPLIED ENERGY, 2017, 188 : 130 - 139