Distribution characteristics of wave energy in the Zhe-Min coastal area

A 10-year（2003–2012） hindcast was conducted to study the wave field in the Zhe-Min coastal area（Key Area OE-W2） located off Zhejiang and Fujian provinces of China. Forced by the wind field from a weather research and forecasting model（WRF）, high-resolution wave modelling using the SWAN was carried out in the study area. The simulated wave fields show a good agreement with observations. Using the simulation results, we conducted statistical analysis of wave power density in terms of spatial distr...     

福建沿海海域波浪能资源分析与评价

采用波浪模拟的方法,较准确计算得出福建沿海海域波浪能资源分布状况,并给出相应的分析和综合评价.主要结论如下:(1)福建沿海海域波浪能平均密度为2.6～7.3 kW/m,波浪能资源储量为2 210.45 MW,在我国沿海海域仅次于台湾和广东,是波浪能开发利用可以优先考虑的海区之一.(2)福建沿海海域波浪能资源储量的70%分布于平潭岛以北海域,其值达1 512.49 MW.其中,尤以北礵地区值最大,为378.80 MW.(3)以年平均波高为指标,福建沿海海域中东山区段为三类区,其他区段均为一类区和二类区,具有良好的开发前景.(4)福建沿海海域波浪能具有波功率密度低、资源分布广泛且不均匀、波功率密度随季节变化、能量具有多向性等分布特点.(5)基于福建波浪能的开发与利用现状,建议应优先着眼于解决边远海岛等特殊场所的用电问题.     

运用SWAN数值模拟对渤海波浪极值参数的研究(英文)

本文以高分辨率后报风场资料为输入,采用SWAN波浪模式,模拟了渤海海域1985年至2004年共20年间的波浪场。通过有效波高数据的比较,可看出波浪数值结果与实测资料符合较好,可以用数值结果分析渤海海域的波浪特征。利用计算的年极值波要素,本文给出并分析了渤海海域不同重现期下的极值参数分布情况。     

黄海海浪天气时间尺度变化的数值模拟研究

利用第三代海浪数值模式(SWAN)系统研究了黄海海浪有效波高的天气时间尺度变化的时空分布特征和相关动力学过程。结果表明黄海海浪有效波高的天气变化强度(S_W)具有显著的时间变化特征和空间分布特征。其多年平均值在黄海的中东部存在由南向北延伸的高值区,同时向两侧近海区域逐渐减小。S_W在冬季最大,夏季最小。从11月到翌年5月,S_W月气候态平均值的空间分布与其年平均值的空间分布类似;从6月到同年10月,S_W的月气候态平均值在黄海与东海的分界处存在较强的由黄海到东海的空间梯度。进一步分析表明黄海海域的S_W以风浪占主,涌浪的贡献远小于风浪贡献。数值实验表明,黄海海浪有效波高的天气时间尺度变化主要是由大于天气变化周期的海面风强迫通过四波非线性相互作用产生的。     

Improvement in predictability of waves over the Indian Ocean

Accurate prediction of ocean surface waves is a challenging task with many associated difficulties. Availability of good quality wind and wave information from satellite platforms inspired the scientific community to assimilate such data in various spectral wave models for enhancing the accuracy of prediction. Over the Indian Ocean, which is the region of interest for the present study, wave heights in extreme situation can go up to 12–14 m, thereby increasing the probability of coastal hazards. This region is further governed by the southern ocean swells that propagate thousands of kilometers. These are, in general, not well captured by the spectral wave models. Therefore, assimilation of altimeter data in open ocean wave model WAM has been attempted with the aim of enhancing the quality of prediction of significant wave height. Further, simulated wave spectra have been assimilated in a coastal wave model SWAN. This assimilation has been found to significantly improve the prediction of the height of wind waves as well as swell waves. V. Bhatt and S. Surendran are former students of Meteorology and Oceanography Group, Space Applications Centre, ISRO, Ahmedabad.     

淀山湖风浪场的数值模拟

对淀山湖的风场和风浪场进行了观测,根据所观测的风场利用SWAN模型计算了湖区的风浪场.通过将计算的波高和观测值进行比较,说明计算结果的变化趋势和观测结果的变化趋势相吻合;观测结果的波动幅度较大,而计算结果比较平滑.总体说来,基于SWAN模型所计算的波高可信、可靠.在此基础上,利用SWAN模型较为系统地计算了不同水位和不...     

Hindcast of the wave conditions along the west Iberian coast

This paper describes the development of a wave prediction system for the west Iberian coast. The implemented wave prediction system is based on two state-of-the-art spectral wave models, WAM for the ocean area and SWAN for the nearshore. However, because of its extended geographical space the SWAN model will include some generation effects in the coarse SWAN simulations, complemented by wave transformation effects near the coast. The system was validated by means of extended hindcast runs in various regions belonging to the continental Portuguese coastal environment, which were compared with buoy data, focusing on the extreme energetic events and both direct comparisons and statistical results are presented.     

SWAN和甘肃省气象风险预警产品在岷县一次强对流过程中的应用

介绍了临近预报系统(SWAN)和甘肃省中小河流洪水和山洪地质灾害气象风险预警平台的产品特征及其在2012年5月10日甘肃岷县强对流天气过程中的应用。SWAN系统表明,在强回波影响岷县期间,监测到最大反射率因子达到50 dBZ以上,其对应的高度为9 km;风暴体内垂直积分含水量和回波顶高的极值分别达到15 kg/m2和18 km,表明风暴在影响岷县期间发展旺盛;TITAN风暴产品也较为准确地预测了风暴的发展方向和趋势;定量降水预报产品QPF对本次过程的降水落区预报较为准确,但是降水量级预报偏小。总体来看,SWAN系统在本次强对流天气过程中发挥了很好的监测预警功能。甘肃省中小河流洪水和山洪地质灾害气象风险预警平台在云图、雷达、自动区域站的多资料融合监测中也发挥了重要作用,其暴雨云团加强显示、降水估测等功能都对强对流风暴有很好的监测预警作用。     

Numerical study of three-dimensional suspended sediment transport in waves and currents

In the present work, a three-dimensional suspended sediment model (SED) is built. A three-dimensional hydrodynamic model (COHERENS) and a third-generation wave model (SWAN) are fully coupled through accounting for mutual influences between wave and current in them. SED is combined with the coupled model built up above. Damping function of suspended sediment on turbulence is introduced into COHERENS. Then a coupled hydrodynamic–sediment model COHERENS-SED incorporating mutual influences between wave and current is obtained. COHERENS-SED is adopted to simulate three-dimensional suspended sediment transport of Yellow River Delta with wave–current co-existing. The simulated tidal current velocities and suspended sediment concentration match well with field measurement data. The simulated significant wave height and wave period for a case with current's effects can give better agreement with measurement data than a case without current's effects. Numerical simulation results of COHERENS-SED are demonstrated to be reasonable though being compared with previous studies and field measurements [Wang, H., Yang, Z.S., Li, R., Zhang, J., Chang, R., 2001. Numerical modeling of the seabed morphology of the subaqueous Yellow River Delta. International Journal of Sediment Research 16(4), 486–498; Wang, H., 2002. 3-dimensional numerical simulation on the suspended sediment transport from the Huanghe to the Sea. Ph.D. Thesis, Ocean University of China, pp. 12–14 (in Chinese)].     

Modelling analysis of the sensitivity of shoreline change to a wave farm

Change of shoreline wave climate caused by the installation of a wave farm is assessed using the SWAN wave model. The 30 MW-rated wave farm is called the ‘Wave Hub’ and will be located 20 km off the north coast of Cornwall, UK. Changes in significant wave height and mean wave period due to the presence of the Wave Hub are presented. The results suggest that the shoreline wave climate will be affected, although the magnitude of effects decreases linearly as wave energy transmitted increases. At probable wave energy transmission levels, the predicted change in shoreline wave climate is small.