共查询到19条相似文献,搜索用时 265 毫秒
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采用WRF风场模式和SWAN海浪模式,分别进行渤海湾的风场和波浪场后报计算,并以波浪气象浮标实测数据对风场和波浪场进行验证,效果良好。以后报结果为样本,采用P-Ⅲ型拟合方法,对莱州湾湾口-15 m等深线处的风场与波浪进行统计分析,得到50 a一遇的设计要素值。运行MIKE21 SW模块建立潍坊港海域的波浪数值模型,进行50 a一遇重现期下的波浪浅水传播计算。模拟结果表明,该模型适用于模拟潍坊港附近海域的波浪传播过程,计算结果可为港区的码头、沙堤和航道等的设计和建设提供参考 相似文献
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大连长兴岛北港区波浪条件数值模拟研究 总被引:4,自引:3,他引:1
利用国际通用的MM5风场模式和SWAN浪场模式,通过推算影响工程海域的台风和寒潮大风天气过程,得到工程海域-30 m等深线处不同重现期设计波要素,然后采用MIKE 21 NSW和BW波浪数学模型,对工程规划方案设计波要素和港内波况进行了计算。结果表明:工程受N向和NNE向风浪影响相对较大,外海波浪传播至防波堤处无明显衰减;设计高水位重现期50 a时防波堤处最大H1%约7.3 m;防波堤对港内围堰掩护较好,建成后港内波浪条件明显改善。 相似文献
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选用内域藤田外域高桥的混合风场模拟台风风场,应用第三代海浪数值模式SWAN对2013年影响南海海域的超级台风"海燕"进行台风浪的推算。通过对测点处风速以及推算出有效波高与实测数据对比,分析发现模式计算结果与实测吻合良好。同时将其应用到南海海域波浪场的推算,能够很好地刻画台风经过时波浪场在时间和空间的变化,可为以后风浪的预报提供参考。 相似文献
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“韦帕”台风过程中南黄海海域流场研究 总被引:1,自引:0,他引:1
《水道港口》2013,(3):225-231
台风经过海域时,会造成海面强风以及特殊分布的波浪场,可能引起潮流场的强烈变化。为深入探讨台风过程中流场的变化,研究风应力与辐射应力对潮流场的作用,选用WRF模型、第三代海浪模式SWAN、三维水动力模型FVCOM,针对"0713"号"韦帕"台风期间的台风风场、潮流场、波浪场进行数值模拟。结果表明WRF-SWAN-FVCOM模式能够较好地模拟"韦帕"台风期间南黄海海域流场。波浪和流场受旋转台风影响均出现旋转特性,但与台风旋转风场有一定延迟。与纯潮流场相比,风应力和波浪辐射应力对表层流场产生明显影响,风场影响最为显著,波浪辐射应力使南黄海海域沿岸流发生一定增大。 相似文献
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《水道港口》2019,(6):641-649
孟加拉湾是21世纪海上丝绸之路的重要海区,系统性的分析该海域的风浪特征有利于推动孟加拉湾海上工程的开展和实施。文章利用欧洲中期天气预报中心(ECMWF)中历史再分析数据,统计分析了多年孟加拉湾波浪场、海表面风场的特征以及海湾内3个代表性港口的风浪特征,主要内容包括波浪场、海表面风场的季度特征,3个港口的季度风浪特征等方面。分析表明:孟加拉湾的波浪条件具有季节性变化特征,且在西南季风的影响下有效波高的平均值大于在东北季风影响下的有效波高的平均值;受岛链的掩护作用安达曼海沿海有效波高平均值0.8 m左右,小于孟加拉湾东部沿海有效波高平均值;风速季度性变化特征明显,第三季度为季风期大于其他季度平均风速;海湾内中低纬度(5°N~15°N)处的平均风速大于中高纬度和赤道附近的平均风速。 相似文献
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The NW Mediterranean experiences, as illustrated by the last decade, strong and rapidly varying storms with severe waves and winds. This has motivated a continuous validation of models and the efforts to improve wave and wind predictions. In this paper we use two atmospherics models, MASS (from SMC-Meteorological Office of Catalunya) and ARPEGE (from Météo-France), to force two third generation wave models: WAM and SWAN. The evaluation and comparison has been carried out for two severe storms registered in November 2001 and March–April 2002.The ARPEGE and MASS models predicted higher 10 m wind speeds than coastal meteorological stations, a fact attributed to local land influences. Regarding the 10 m wind direction, models do not present large differences, although considerable deviations from recorded data were found during some dates. ARPEGE presents less scatter and lower errors than MASS when compared with QuikSCAT data.The 10m wind fields from both atmospheric models were used to force the two selected wave models and analyse the errors and sensitivities when predicting severe wave storms. The wave model simulations show some interesting results; during the storm, the spatial wave pattern using ARPEGE showed a higher maximum, although the values of significant wave height at the buoys were lower than the ones forced by MASS (with both WAM and SWAN). The SWAN simulations show a better agreement in predicting the growing and waning of the storm peaks. The prediction of mean period was improved when using the ARPEGE wind field. However the underestimation by SWAN due to the large energy at high frequencies was evident. Validation of spectral shape predictions showed that it still has considerable error when predicting the full frequency spectra. The storms showed bimodal spectral features which were not always reproduced by wave models and are likely to be responsible for part of the discrepancies. 相似文献
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