近20年南海波浪及波浪能分布、变化研究
发布时间:2018-03-06 20:22
本文选题:南海 切入点:SWAN 出处:《中国海洋大学》2014年硕士论文 论文类型:学位论文
【摘要】:南海海域波浪场的变化是当今诸多学者海洋研究的焦点。近几十年,南海海域海洋灾害的发生呈逐年增长的趋势,也成为制约南海经济发展的关键因素。研究南海的波浪场,对海上航运、海上军事以及能源的开发利用显得尤为重要。 本文利用1986年1月至2005年12月由WRF模式构造的高时空分辨率的再分析风场,运用目前国际比较先进的第三代海浪模式SWAN(SimulatingWaves Nearshore)40.85,对南海海域的波浪场进行长时间序列的数值模拟。文章主要分析了南海波浪场的变化,其中包括有效波高的季节变化和年际变化、多年一遇重现期极值以及波浪能的季节变化和年际变化。 由于受冬季季风的影响,南海有效波高在冬季达到了最大值,最小值则出现在季风转换的春季,在南海有效波高的分布呈现东北-西南走向;从多年平均有效波高的分布来看,最大值发生在南海的中部海域,有效波高分布与季节性分布趋势一致,亦呈现出东北-西南走向;并且通过与卫星高度计数据进行对比验证,显示模拟结果与实测数据吻合较好。 在本文中选用P-Ⅲ分布曲线对南海海域的有效波高和平均周期的重现期极值进行了估计,结果显示:P-Ⅲ型分布曲线对有效波高和平均周期的拟合效果较好。研究多年一遇重现期的极值对于海上航行、港口建设以及渔业捕捞都要非常重要的意义。 南海蕴藏有丰富的波浪能资源,,这对于在南海建立波浪能电站十分有优势。通过对南海波浪能的分析,表明南海波浪能的储量比传统的估计要大的多。能流密度的最大值出现在冬季,而且具有比较高的稳定性,除此之外,通过计算能流密度能级频率发现,在南海,能流密度大于6kW/m的频率达到了80%以上,且高频率带的分布呈现东北-西南走向,这与波浪能的大致区分布相一致。 南海海域是台风的频发地,研究台风过程波浪场的变化显得十分重要。在本文中选取了编号为0814的黑格比台风作为研究个例。将模拟结果与实测数据进行对比验证,发现模拟结果与实测值吻合比较好。而且整个浪场的变化再现了台风的移动的过程。 本文采用SWAN海浪模式对南海海域进行数值模拟,通过与卫星高度计数据以及实测数据进行对比发现:模拟效果较好,说明SWAN模式可以很好地模拟南海海域的波浪场。
[Abstract]:The variation of the wave field in the South China Sea is the focus of many scholars' marine research. In recent decades, the occurrence of marine disasters in the South China Sea has been increasing year by year, which has also become the key factor restricting the economic development of the South China Sea. The development and utilization of maritime navigation, maritime military and energy are particularly important. In this paper, the high spatial and temporal resolution reanalysis wind field constructed by WRF model from January 1986 to December 2005 is used. In this paper, the numerical simulation of the wave field in the South China Sea over a long period of time is carried out by using the advanced third generation wave model SWAN(SimulatingWaves Nearshorezhike 40.85. The variation of the wave field in the South China Sea is mainly analyzed, including the seasonal variation and the interannual variation of the effective wave height. The seasonal and interannual variations of the maximum value and wave energy in the recurrence period of many years. Due to the influence of the winter monsoon, the effective wave height in the South China Sea reaches the maximum in winter, and the minimum occurs in the spring of the monsoon transition, and the distribution of the effective wave height in the South China Sea appears northeast to southwest strike. From the distribution of the annual mean effective wave height, the maximum occurred in the central sea area of the South China Sea. The effective wave height distribution is consistent with the seasonal distribution trend, and also shows the northeast to southwest trend, and is verified by comparing with the satellite altimeter data. The simulation results are in good agreement with the measured data. In this paper, the P- 鈪
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