浙江近海波浪能资源的初步研究

以2000年为例,采用SWAN波浪数值模型对浙江近海海域的波浪进行了全年模拟计算,并计算获得年、月平均波功率密度分布。研究表明,浙江近岸海域年平均波功率密度约为2~6 kW·m^-1,往外海逐渐增大;同时季节变化明显,秋、冬季节波功率密度较大,春、夏季节较小。另外,通过对浙北、浙中和浙南3个近海海区的波浪出现频率和波功率密度随波高和周期变化的分析可知,浙北海域波功率密度比较高的波高及周期范围和波浪出现频率较高范围较为接近,而其对应平均波功率密度相对较低;浙南海域波功率密度比较高的范围所对应的平均波功率密度较高,而与波浪出现频率较高的范围则略有差异;浙中海域居两者之间。总体而言,浙江近海波浪能资源丰富,且全年中可开发与利用的波浪能出现频率较高。     

浙江沿海超强台风作用下的台风浪波高

基于 SWAN 波浪传播模型建立包含风暴潮与天文潮耦合传播的台风浪数值模型,通过多次台风引起的波浪模拟,证实该模型可适用于浙江沿海.将1949年以来登陆我国大陆沿海最强的“5612”号台风作为典型的超强台风,计算了超强台风在浙北至浙南3个不同地点登陆遭遇天文潮高潮位时产生的沿海波高过程.结果显示,在开敞海区,登陆点南侧附近及其以北沿海,台风登陆时过程最大有效波高与风暴高潮位基本同时出现,而在登陆点以南远区的沿海海域,最大有效波高出现在登陆前的一个高潮位附近;超强台风作用下浙江陆域沿海离岸近1 km 范围内有效波高可达4耀6 m.这些结论对海堤工程设计和防灾减灾具有重要意义.     

Exploitable wave energy assessment based on ERA-Interim reanalysis data—A case study in the East China Sea and the South China Sea

Wave energy resources assessment is a very important process before the exploitation and utilization of the wave energy. At present, the existing wave energy assessment is focused on theoretical wave energy conditions for interesting areas. While the evaluation for exploitable wave energy conditions is scarcely ever performed.Generally speaking, the wave energy are non-exploitable under a high sea state and a lower sea state which must be ignored when assessing wave energy. Aiming at this situation, a case study of the East China Sea and the South China Sea is performed. First, a division basis between the theoretical wave energy and the exploitable wave energy is studied. Next, based on recent 20 a ERA-Interim wave field data, some indexes including the spatial and temporal distribution of wave power density, a wave energy exploitable ratio, a wave energy level, a wave energy stability, a total wave energy density, the seasonal variation of the total wave energy and a high sea condition frequency are calculated. And then the theoretical wave energy and the exploitable wave energy are compared each other; the distributions of the exploitable wave energy are assessed and a regional division for exploitable wave energy resources is carried out; the influence of the high sea state is evaluated. The results show that considering collapsing force of the high sea state and the utilization efficiency for wave energy, it is determined that the energy by wave with a significant wave height being not less 1 m or not greater than 4 m is the exploitable wave energy. Compared with the theoretical wave energy, the average wave power density, energy level, total wave energy density and total wave energy of the exploitable wave energy decrease obviously and the stability enhances somewhat. Pronounced differences between the theoretical wave energy and the exploitable wave energy are present. In the East China Sea and the South China Sea, the areas of an abundant and stable exploitable wave energy are primarily located in the north-central part of the South China Sea, the Luzon Strait,east of Taiwan, China and north of Ryukyu Islands; annual average exploitable wave power density values in these areas are approximately 10–15 k W/m; the exploitable coefficient of variation(COV) and seasonal variation(SV)values in these areas are less than 1.2 and 1, respectively. Some coastal areas of the Beibu Gulf, the Changjiang Estuary, the Hangzhou Bay and the Zhujiang Estuary are the poor areas of the wave energy. The areas of the high wave energy exploitable ratio is primarily in nearshore waters. The influence of the high sea state for the wave energy in nearshore waters is less than that in offshore waters. In the areas of the abundant wave energy, the influence of the high sea state for the wave energy is prominent and the utilization of wave energy is relatively difficult. The developed evaluation method may give some references for an exploitable wave energy assessment and is valuable for practical applications.     

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.     

A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations

Wave energy resource assessment and trends around Indonesian's ocean has been carried out by means of analyzing satellite observations. Wave energy flux or wave power can be approximated using parameterized sea states derived from satellite data. Unfortunately, only some surface parameters can be measured from remote sensing satellites, for example for ocean surface waves: significant wave height. Others, like peak wave period and energy period are not available, but can instead be estimated using empirical models. The results have been assessed by meteorological season. The assessment shows clearly where and when the wave power resource is promising around Indonesian's ocean. The most striking result was found from June to August, in which about 30–40 kW/m(the 90 th percentile: 40–60 kW/m, the 99th percentile: 50–70 kW/m) wave power energy on average has been found around south of the Java Island. The significant trends of wave energy at the 95% level have also been studied and it is found that the trends only occurred for the extreme cases, which is the 99th percentile(i.e.,highest 1%). Wave power energy could increase up to 150 W/m per year. The significant wave heights and wave power have been compared with the results obtained from global wave model hindcast carried out by wave model WAVEWATCH III. The comparisons indicated excellent agreements.     

南海北部沿岸冬季水位亚潮波动特征研究

用时间序列分析方法研究了南海北部水位亚潮波动的基本特征。结果表明南海北部冬季水位亚潮波动能量以福建南部沿岸最强,广东沿岸仅为台湾海峡南部的一半左右,但二者具有相似的谱特征。各站的功率谱峰均出现在3.2,6.4,3.6和2.3d频带。其中3.2和6.4d波动能量最强。此外,在珠江口附近还有10.7d的较弱谱峰。与东海沿岸冬季情况类似,南海北部沿岸水位波动有很高的空间相关性,说明冬季我国东南沿海的亚潮波动受某一共同机制的控制。分析还表明水位波动一致地从东北向西南传播,但在不同岸段传播特征有相当差异。     

1988-2010年中国海域波浪能资源模拟及优势区域划分

基于国际先进的第三代海浪数值模式WAVEWATCH -Ⅲ,以CCMP风场为驱动场,模拟得到中国海域域1988年1月-2010年12月的海浪场。从提高波浪能资源利用效率的角度出发,定义了波浪能资源开发的有效时间,综合考虑波浪能流密度的大小、资源开发有效时间出现的频率、能流密度的稳定性(变异系数)、SWH和能流密度的变化趋势、资源的总储量和有效储量等方面,对中国海域域的波浪能资源进行评估。研究发现:(1)南海北部四季皆为能流密度的大值区,各个季节基本都在8 kW/m以上,秋冬两季更是高达20 kW/m以上。(2)东海和南海大部分海域的波浪能资源开发有效时间出现频率较高。(3)能流密度的稳定性在1月最好,4月和10月次之,7月最差;南海能流密度的稳定性好于其余海域,其中又以南海北部海域的稳定性最好。(4)中国海域域大部分海域单位面积的波浪能总储量在2×104 kW·h/m以上,高值中心分布于南海北部海域,有效储量的分布特征与总储量基本一致。(5)我国大部分海域的SWH和波浪能流密度呈显著的逐年线性递增趋势,SWH的递增趋势为0.5~2.5 cm/a,能流密度的递增趋势为0.05~0.55 kW/(m·a)。(6)我国大部分海域蕴藏着较为丰富的波浪能资源,其中南海北部、台湾以东洋面及琉球群岛附近海域为波浪能资源的优势区域。     

山东省周边海域波浪能资源评估

采用第三代海浪模式SWAN对2001-2010年期间山东省周边海域的波浪状况进行了数值模拟。波浪能数值模拟值与台站观测值的比对结果表明模拟值可靠、实用。分析发现山东省周边海域平均波能流密度以2 000W/m以下为主,低于中国南部海域及欧美沿岸波能流密度。选取12个典型代表点,从波能流密度大小、变化特征、稳定性等角度分析了不同代表点的波浪能情况,发现山东周边波能流密度受气候变化影响近10年来呈上升趋势。综合不同区域波浪能大小及需求情况,建议选取山东半岛东部海域、蓬莱外围岛屿近渤海中部海域和渤海中部海域作为波浪能开发利用的首选区域。其中成山头东部海域波能流密度在冬季高达5 000 W/m,在该季节大部分区域可归为一类资源丰富区。基于此,建议开发利用中小规模的波浪能供电设备或供电设施。     

Effect of Sea Level Variation on Tidal Characteristic Values for the East China Sea

1 .IntroductionTheglobalairtemperatureroseabout 0 .5～ 0 .6°Coverthepast 2 0thcentury ,andtheglobalmeansealevelincreasedbyabout2 0cmduringtheperiod .Theregionalmeansealevelriseswiththerisingglobalmeansealevel.Zuoetal.( 1 997)indicatedthatthemeanrisingrateofabsolutemeansealevelalongtheChinacoastontheassumptionofunifiedisostaticdatumis 2mm a .Woodworth( 1 999)analyzedsealevelspanning 1 76 8tothepresentinLiverpool,andobtainedaseculartrendforheperiodupto 1 880of0 .39± 0 .1 7mm a ,andatrendfort…     

Spectral features of the New Zealand deep‐water ocean wave climate

The wave climate at the Maui site off the west coast of the North Island and off the east coast of Great Barrier Island to the east of the North Island are examined. This is done by means of average wave spectra derived from a 2‐year database, acquired from Waverider buoy measurements made over 1980 and 1981. The average spectra provide information about the individual sea states which characterise the wave climate, and show that on average the sea state on the east coast is less energetic than it is on the west coast. Further, it is seen that this difference results largely from a dominant and persistent long‐period south‐westerly swell of 12.4 s period which is present at the Maui location but absent from the Great Barrier Island seas.     

非结构网格模型在闽东沿海台风浪模拟中的应用

基于加密的非结构三角网格,以Holland模型风场叠加美国国家环境预报中心（NCEP）海面风场构造的合成风场驱动第三代浅水波浪数值模型（SWAN）对2017年影响闽东海域的“纳沙”和“泰利”台风过程进行数值模拟,并运用浮标站的实测数据对模拟结果进行验证.结果表明,模型计算的风速、有效波高与实测值符合较好,合成风场能较好地模拟台风期间的风速变化过程,SWAN模式能够合理地再现闽东沿海台风浪的时空分布特征.由模拟结果可见：台风“纳沙”中心越过台湾岛进入台湾海峡北部海面,受海峡地形的约束,其波浪场呈NE—SW向椭圆状分布,北部海域的浪高大于南部,闽东沿海遍布大范围的巨浪到狂浪;超强台风“泰利”未登陆闽东,当其台风中心与大陆的距离最近时,海面波浪场分布与台风风场结构一致,台风中心附近海域为14 m以上的怒涛区,巨浪遍布于闽东沿海.研究结果可为闽东沿海台风浪灾害预警和应急管理提供技术支撑和参考依据.     

Information System for Ocean Wave Resources and Its Application to Wave Power Utilization

An information system for ocean wave resources and its application to wave power utilizationare indtroduced.It can manage,analyze and process the data in the monthly report of ocean wave observa-tion records of the State Ocean Administration,and can provide various kinds of curves and numericalcharacters of statistics.This system has been put into utility in Guangzhou Institute of Energy Conversion(GIEC),the Chinese Academy of Sciences since 1996.An application example is given of theinverstigation and analysis on ocean wave resource of the Nan Ao Island,Guangdong Province,where a100 kW onshore OWC(oscillating water column)wave power station will be built.The wave power distri-bution is obtained in different wave directions for different wave periods.It is found that 70 percent of thewave power comes from the direction of ENE,and more than 95 percent of the wave power is related withdirection E.The average wave power density is about 3 kW/m,and more than 80 percent of the wavepower is distributed in the     

用沿岸上升流指数分析中国东南沿岸风生上升流的特征

对1968年1月到2007年12月中国东南沿海(17°N～30°N,109°E～123°E)上升流指数月平均数据进行分析,结论如下:(1)风生沿岸上升流主要在4-8月间发生于海南岛东部、雷州半岛东部、汕头以北至浙江沿岸.(2)风生沿岸上升流的强度具有时空分布变化特征,其中海南岛东部沿岸上升流最强,浙江沿岸其次;整个中国...     

Surface tidal currents in the open sea area to the east of the Zhoushan Islands measured with high frequency surface wave radar

Based on the quasi-harmonic analysis of 11 d vector ocean currents obtained from two high frequency sur- face wave radars located at Zhujiajian Island and Shengshan Island, the spatial distribution characteristics of surface tidal currents in the open sea area to the east of the Zhoushan Islands of Zhejiang Province, China are studied. The following conclusions are drawn from the analysis： the tidal current pattern in the open sea area to the east of Zhoushan Islands is primarily regular semidiurnal, which is significantly affected by the shallow water constituents. The directions of the major axes of tidal current ellipses of M2 lie approx- imately in the NW-SE direction. With the increasing of distance away from the coast, the directions of the tidal current ellipses gradually shift toward the E-W direction. The tidal currents are mainly reversing cur- rents. The spatial distribution of probable maximum current velocities decreases gradually from northeast to southwest which is basically in accordance with the spatial distribution of measured maximum current velocities. The residual currents near the coast are larger than those far away from the coast. The directions of the residual currents are basically north by east, and the angle to the due north increases gradually with the increasing distance away from the coast. The topography shows a certain impact on the spatial distri- bution of shallow water constituents, the rotation of tidal currents, the probable maximum currents and the residual currents.     

基于多星融合高度计数据的中国海波浪能资源评估

Wave energy resources are abundant in both offshore and nearshore areas of the China's seas. A reliable assessment of the wave energy resources must be performed before they can be exploited. First, for a water depth in offshore waters of China, a parameterized wave power density model that considers the effects of the water depth is introduced to improve the calculating accuracy of the wave power density. Second, wave heights and wind speeds on the surface of the China's seas are retrieved from an AVISO multi-satellite altimeter data set for the period from 2009 to 2013. Three mean wave period inversion models are developed and used to calculate the wave energy period. Third, a practical application value for developing the wave energy is analyzed based on buoy data. Finally, the wave power density is then calculated using the wave field data. Using the distribution of wave power density, the energy level frequency, the time variability indexes, the total wave energy and the distribution of total wave energy density according to a wave state, the offshore wave energy in the China's seas is assessed. The results show that the areas of abundant and stable wave energy are primarily located in the north-central part of the South China Sea, the Luzon Strait, southeast of Taiwan in the China's seas; the wave power density values in these areas are approximately 14.0–18.5 k W/m. The wave energy in the China's seas presents obvious seasonal variations and optimal seasons for a wave energy utilization are in winter and autumn. Except for very coastal waters, in other sea areas in the China's seas, the energy is primarily from the wave state with 0.5 m≤H s≤4 m, 4 s≤T e≤10 s where H s is a significant wave height and T e is an energy period; within this wave state, the wave energy accounts for 80% above of the total wave energy. This characteristic is advantageous to designing wave energy convertors(WECs). The practical application value of the wave energy is higher which can be as an effective supplement for an energy consumption in some areas. The above results are consistent with the wave model which indicates fully that this new microwave remote sensing method altimeter is effective and feasible for the wave energy assessment.     

东海西部沿岸海域冬季的逆温跃层现象及其与环流的关系

本文引用《渤海、黄海、东海海洋图集──水文》分册（１９９２）中有关逆温跃层分布变化的图幅以及温盐历史资料,指出东海西部沿岸（２２～３２°Ｎ）冬季出现逆温跃层的区域北起长江口,南到南澳岛以南几乎相联成片的现象,论述了这一分布与中国东南近海冬季潜伏于深底层的暖流水的区域相吻合,从而从水文结构上证实了冬季在深底层粤东沿岸的南海暖流北上通过台湾海峡西部与闽浙沿岸的台湾暖流相接这一环流特征。     

多源卫星高度计海浪资料在中国近海的验证及应用

Studies of offshore wave climate based on satellite altimeter significant wave height(SWH) have widespread application value. This study used a calibrated multi-altimeter SWH dataset to investigate the wave climate characteristics in the offshore areas of China. First, the SWH measurements from 28 buoys located in China's coastal seas were compared with an Ifremer calibrated altimeter SWH dataset. Although the altimeter dataset tended to slightly overestimate SWH, it was in good agreement with the in situ data in general. The correlation coefficient was 0.97 and the root-mean-square(RMS) of differences was 0.30 m. The validation results showed a slight difference in different areas. The correlation coefficient was the maximum(0.97) and the RMS difference was the minimum(0.28 m) in the area from the East China Sea to the north of the South China Sea.The correlation coefficient of approximately 0.95 was relatively low in the seas off the Changjiang(Yangtze River) Estuary. The RMS difference was the maximum(0.32 m) in the seas off the Changjiang Estuary and was0.30 m in the Bohai Sea and the Yellow Sea. Based on the above evidence, it is confirmed that the multialtimeter wave data are reliable in China's offshore areas. Then, the characteristics of the wave field, including the frequency of huge waves and the multi-year return SWH in China's offshore seas were analyzed using the23-year altimeter wave dataset. The 23-year mean SWH generally ranged from 0.6–2.2 m. The greatest SWH appeared in the southeast of the China East Sea, the Taiwan Strait and the northeast of the South China Sea.Obvious seasonal variation of SWH was found in most areas; SWH was greater in winter and autumn than in summer and spring. Extreme waves greater than 4 m in height mainly occurred in the following areas: the southeast of the East China Sea, the south of the Ryukyu Islands, the east of Taiwan-Luzon Island, and the Dongsha Islands extending to the Zhongsha Islands, and the frequency of extreme waves was 3%–6%. Extreme waves occurred most frequently in autumn and rarely in spring. The 100-year return wave height was greatest from the northwest Pacific seas extending to southeast of the Ryukyu Islands(9–12 m), and the northeast of the South China Sea and the East China Sea had the second largest wave heights(7–11 m). For inshore areas, the100-year return wave height was the greatest in the waters off the east coast of Guangdong Province and the south coast of Zhejiang Province(7–8 m), whereas it was at a minimum in the area from the Changjiang Estuary to the Bohai Sea(4–6 m). An investigation of sampling effects indicates that when using the 1°×1°grid dataset, although the combination of nine altimeters obviously enhanced the time and space coverage of sampling, the accuracy of statistical results, particularly extreme values obtained from the dataset, still suffered from undersampling problems because the time sampling percent in each 1°×1°grid cell was always less than33%.     

基于长时间序列ERA-Interim再分析资料的广东沿海波浪能资源分布特征分析

波浪能的开发利用作为海洋可再生能源发展的重要组成部分,持续受到社会和学界的广泛关注。广东省波浪能资源的开发利用具有得天独厚的优势,但其发展水平还处于探索阶段,亟须进一步加强。本文利用长达40年(1979—2018年)的ERA-Interim再分析波浪资料,从总体分布特征上分析了广东沿海波浪能资源及其长期变化趋势。粤东-珠江口-粤西沿岸一线,波浪能资源呈现"低-高-低-高-低"的分布特征,具有显著的季节变化特征;长期变化趋势上呈现显著的逐年线性递增特征,递增速率为0.054 3 kW/(m·a),其中1979—1994年变化较为快速,2001—2018年变化较为平缓。     

斋堂岛东南海域波浪特征及海浪谱分析

利用斋堂岛东南海域2013年至2014年的实测波浪资料,统计分析了本海域波浪特征,为波浪能资源评估提供基本波浪参数。统计结果表明,本海域年平均有效波高为0.60 m,最大波高为5.30 m,平均周期为3.3 s,最大周期为8.3 s,常浪向为E-SE向。本文亦讨论了本海域波高分布和波高与周期的关系,并基于JONSWAP谱谱型的基本结构,拟合得到适用于本海域的海浪谱谱型,可为海洋能发电装置的布设及相应的工程建设提供一定的参考。     

粤东甲子海域潮波异常和南海北部潮波的传播

从南海潮波数值模拟潮能通量的结果中,勾勒出南海北部潮波的传播路径,显示出众多的路径分支。分析表明南海北部陆架包括北部湾海区,仅获得太平洋传入潮能的一小部分,因而南海北部沿岸的潮汐潮流都表现得比较弱。由于复杂的地形,导致了潮波传播路径指向不同方向。文章通过实测资料以及潮波的传播路径,特别讨论了粤东甲子站附近的潮波异常现象,并指出流向台湾海峡南口的分支和流向珠江口、广州湾的分支之间的潮能辐散,可能是造成甲子站附近潮性系数特别大以及潮汐潮流性质迥异现象的重要原因之一。