| 近岸波浪和波生流环境中泥沙输运的数值模拟 |
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| 引用本文： | 唐军,吕义港,沈永明.近岸波浪和波生流环境中泥沙输运的数值模拟[J].海洋学报(英文版),2016,35(9):111-116. |
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| 作者姓名： | 唐军 吕义港 沈永明 |
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| 作者单位： | 大连理工大学海岸和近海工程国家重点实验室, 大连, 116023,大连理工大学海岸和近海工程国家重点实验室, 大连, 116023;嘉兴市交通工程质量安全监督站, 嘉兴, 314001,大连理工大学海岸和近海工程国家重点实验室, 大连, 116023 |
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| 摘 要： | Owing to lack of observational data and accurate definition,it is difficult to distinguish the Kuroshio intrusion water from the Pacific Ocean into the South China Sea(SCS).By using a passive tracer to identify the Kuroshio water based on an observation-validated three-dimensional numerical model MITgcm,the spatio-temporal variation of the Kuroshio intrusion water into the SCS has been investigated.Our result shows the Kuroshio intrusion is of distinct seasonal variation in both horizontal and vertical directions.In winter,the intruding Kuroshio water reaches the farthest,almost occupying the area from 18°N to 23°N and 114°E to 121°E,with a small branch flowing towards the Taiwan Strait.The intrusion region of the Kuroshio water decreases with depth gradually.However,in summer,the Kuroshio water is confined to the east of 118°E without any branch reaching the Taiwan Strait;meanwhile the intrusion region of the Kuroshio water increases from the surface to the depth about 205 m,then it decreases with depth.The estimated annual mean of Kuroshio Intrusion Transport(KIT) via the Luzon Strait is westward to the SCS in an amount of –3.86×106 m3/s,which is larger than the annual mean of Luzon Strait Transport(LST) of –3.15×106 m3/s.The KIT above 250 m accounts for 60%–80% of the LST throughout the entire water column.By analyzing interannual variation of the Kuroshio intrusion from the year 2003 to 2012,we find that the Kuroshio branch flowing into the Taiwan Strait is the weaker in winter of La Ni?a years than those in El Ni?o and normal years,which may be attributed to the wind stress curl off the southeast China then.Furthermore,the KIT correlates the Ni?o 3.4 index from 2003 to 2012 with a correlation coefficient of 0.41,which is lower than that of the LST with the Ni?o 3.4 index,i.e.,0.78.
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| 关 键 词： | 数值模拟 近岸波浪 波生流 泥沙输运 悬沙 床沙 |
| 收稿时间： | 2015/10/3 0:00:00 |
| 修稿时间： | 2015/12/7 0:00:00 |
Numerical simulation of the Kuroshio intrusion into the South China Sea by a passive tracer |
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| TANG Jun,LYU Yigang and SHEN Yongming.Numerical simulation of the Kuroshio intrusion into the South China Sea by a passive tracer[J].Acta Oceanologica Sinica,2016,35(9):111-116. |
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| Authors: | TANG Jun LYU Yigang and SHEN Yongming |
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| Institution: | 1.State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China2.State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China;Jiaxing City Traffic Engineering Quality and Safety Surveillance, Jiaxing 314001, China |
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| Abstract: | Prediction of coastal sediment transport is of particularly importance for analyzing coast erosion accurately and solving the corresponding coast protection engineering problems. The present study provided a numerical scheme for sediment transport in coastal waves and wave-induced currents. In the scheme, the sand transport model was implemented with wave refraction-diffraction model and near-shore current model. Coastal water wave was simulated by using the parabolic mild-slope equation in which wave refraction, diffraction and breaking effects are considered. Wave-induced current was simulated by using the nonlinear shallow water equations in which wave provides radiation stresses for driving current. Then, sediment transport in waves and wave-induced currents was simulated by using the two-dimensional suspended sediment transport equations for suspended sediment and the bed-load transport equation for bed load. The numerical scheme was validated by experiment results from the Large-scale Sediment Transport Facility at the US Army Corps of Engineer Research and Development Center in Vicksburg. The numerical results showed that the present scheme is an effective tool for modeling coastal sediment transport in waves and near-shore currents. |
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| Keywords: | numerical modeling coastal wave wave-induced current sediment transport suspended sediment bed-load |
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