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胶州湾水交换的数值研究   总被引:43,自引:4,他引:39       下载免费PDF全文
基于一个成熟的水动力模型ECOM(Estuary Coastal Ocean Model),对胶州湾潮波系统及其驱动下的标识质点运移规律进行数值模拟。将胶州湾划分为6个区域,定量研究了整个海湾水的存留时间和不同区域水的交换能力,并指出流场结构对湾内水交换起了决定性作用。研究结果表明,湾内两余流涡对质点运动起阻碍作用,使得流入余流涡对的质点很难流出;海湾水交换有赖于初始投放时刻;东岸区域质点运移规律表明,东岸排污对前海旅游区和西岸养殖区均无很大影响。  相似文献
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胶南近岸海域三维潮流数值模拟   总被引:11,自引:1,他引:10  
为胶南海域沿岸污水排海选址,海洋环境管理提供动力条件,基于变边界河口、陆架、海洋(ECOM)模式,模拟了胶南近岸海域三维潮流场。研究海域水平最大流速在斋堂岛水道,量值为1.0m/s。垂直流速表现为底层大,表层小的特点,其最大值分别为25.38×10-4m/s和9.9×10-4m/s。计算结果与实测结果符合良好,较好地刻画了胶南近岸海域M2分潮潮流场的时空分布特点。  相似文献
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ECOM模式在丁字湾的应用   总被引:6,自引:3,他引:3  
应用河口、陆架和海洋模式 (ECOM模型 ) ,引入干湿网格法模拟潮滩涨落的改进 ,并建立丁字湾及近岸海域的三维变动边界潮流模型。该模型考虑了湾口拦门沙、湾内水道和人工围海等地形特点。计算结果与实测值比较符合良好 ,较好地刻画出丁字湾 M2 分潮潮流场的时空分布特点。  相似文献
4.
渤海潮汐对冰作用的数值模拟   总被引:3,自引:0,他引:3  
李海  白珊 《海洋预报》1999,16(3):39-47
为研究渤海潮对海冰运动的作用,将渤海海冰模式与Blumberg的ECOM-si模式通过动力作用联结,构成一种海冰一海洋动力耦合模式。应用上述耦合模式对渤海冬季潮流对冰的动力作用进行模拟研究,得出了渤海海冰运动的一些显著特征。  相似文献
5.
胶州湾前湾填海对其水动力影响预测分析   总被引:1,自引:1,他引:3  
本文采用ECOM-SED模式、算子分裂法和“干、湿”点法建立了胶州湾变边界数值模型。从潮、余流、潮波系统和潮流能几方面预测分析了胶州湾前湾追地对海洋水动力的影响。结果表明,前湾填海对胶州湾的潮波系统影响甚微,振幅和位相的变化都在1%以内。但是在前湾和工程附近海域潮流和余流变化比较大,其他海域的潮流和余流变化不大,潮流流速变化为1%左右,余流流速变化为3.14%~9.16%。填海后,内湾口和外湾口附近潮能通量增加2.6%~5.24%,前湾和工程局部区域潮能通量减小20.21%~87.23%。  相似文献
6.
基于干湿网格的三维河口-陆架-海洋( ECOM3D) 模式,并结合物质平流-扩散方程,模拟了海州湾近岸海域潮流场和污染物输运浓度场.分析了在不同风向情况下海州湾近岸海域拉格朗日潮余流的分布特征,并且分析了污染物在不同风向下时空分布特征.分析结果表明:在WSW向风作用下,污染物有利于向外海扩散;在E向风和ESE向风作用下,污染物向近岸堆积.  相似文献
7.
A mesoscale coupled atmosphere–ocean model has been developed based on the GRAPES(Global and Regional Assimilation and Prediction System) regional typhoon model(GRAPES_TYM) and ECOM-si(estuary, coast and ocean model(semi-implicit)). Coupling between the typhoon and ocean models was conducted by exchanging wind stress, heat, moisture fluxes, and sea surface temperatures(SSTs) using the coupler OASIS3.0. Numerical prediction experiments were run with and without coupling for the case of Typhoon Muifa in the western North Pacific. To investigate the impact of using more accurate SST information on the simulation of the track and the intensity of Typhoon Muifa, experiments were also conducted using increased SST resolution in the initial condition field of the control test. The results indicate that increasing SST resolution in the initial condition field somewhat improved the intensity forecast, and use of the coupled model improved the intensity forecast significantly, with mean absolute errors in maximum wind speed within 48 and 72 h reduced by 32% and 20%, respectively. Use of the coupled model also resulted in less pronounced over-prediction of the intensity of Typhoon Muifa by the GRAPES_TYM. Moreover, the effects of using the coupled model on the intensity varied throughout the different stages of the development of Muifa owing to changes in the oceanic mixed layer depth. The coupled model had pronounced effects during the later stage of Muifa but had no obvious effects during the earlier stage. The SSTs predicted by the coupled model decreased by about 5–6℃ at most after the typhoon passed, in agreement with satellite data. Furthermore, based on analysis on the sea surface heat flux, wet static energy of the boundary layer, atmospheric temperature, and precipitation forecasted by the coupled model and the control test, the simulation results of this coupled atmosphere–ocean model can be considered to reasonably reflect the primary mechanisms underlying the interactions between trop  相似文献
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