摘要
采用三角形网格海洋模式ADCIRC-2DDI和海浪模式SWAN双向耦合模式,建立了苏北辐射沙洲海域高精度水动力模型,用以研究该海域天文潮-风暴潮-海浪相互作用。以2012年15号台风“布拉万”为例,分别采用WRF气象模型后报风场和台风模型风场进行台风期间水位和波浪场的数值模拟,与实测资料的对比结果显示模型较准确地模拟出了“布拉万”台风期间的风暴增水与海浪过程,但模拟的极值增水和二次增水时间较实测资料提前了3 h左右。对“布拉万”台风期间模拟结果的分析表明:在浅滩及浅滩前沿水域,水位和海流对海浪模拟结果具有显著影响,是否耦合计算的有效波高差异可达1 m以上;波浪对水位的影响具有空间差异,在水深大于15 m的区域,波浪引起的水位变化小于5 cm,在浅滩区域,波浪引起的水位变化在4~10 cm,是否考虑波浪耦合对漫滩区域的模拟结果影响较大,进行浅滩及浅滩前沿的水动力计算,有必要考虑浪流耦合过程。
A high resolution hydrodynamic model is established by coupling the unstructured-mesh ADCIRC-2DDI shallow water circulation model and SWAN spectral wave model to study the tide-storm surge-wave interactions in Northern JiangSu radial sand ridges areas.The super typhoon“Bolaven”is taken as an example to verify the hydrodynamic model.The hind-cast wind field of WRF model and wind filed of typhoon model are used to simulate the storm surges and ocean waves during the typhoon event.Compared with observations,the process of storm surge and ocean wave during“Bolaven”event is well simulated by the hydrodynamic model,while the time of the first and the second peak of storm surges simulated by the hydrodynamic model reveals a lead of 3 hours.It is found that the wave is remarkably influenced by water level and ocean current in Northern Jiangsu shoals,and the difference of significant wave height between coupled and uncoupled simulation is up to 1m.The influence of ocean wave on the water level shows spatial difference.The water level change caused by wave is less than 5cm in areas deeper than 15 m,while it is between 4~10 cm in shoals.The result also shows that it is necessary to take wave-current interaction effect into account in order to improve the simulation accuracy of the hydrodynamic model in Northern Jiangsu shoals.
作者
管琴乐
肖文军
邱婷
张蓓
亢兴
GUAN Qin-le;XIAO Wen-jun;QIU Ting;ZHANG Bei;KANG Xing(Ocean University of China,Qingdao 266000 China;East China Sea Foresting Center,SOA,Shanghai 200136 China;State Key laboratory of Estuaring and Coastal Research,East China Normal University,Shanghai 200062 China)
出处
《海洋预报》
CSCD
北大核心
2019年第4期19-27,共9页
Marine Forecasts
基金
国家重点项目研究发展计划项目（2016YFC1401907）
海洋赤潮灾害立体监测技术与应用国家海洋局重点实验室开放研究基金（MATHAB201703）
