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机构地区:[1]海军大连舰艇学院 [2]解放军75822部队
出 处:《海洋预报》2017年第5期27-35,共9页Marine Forecasts
基 金:河口海岸学国家重点实验室开放基金资助项目(SKLFC-KF201707);中科院可再生能源重点实验室开放课题(Y707K31001);高端科技创新智库青年项目(DXB-ZKQN-2016-019);山东省自然科学基金(ZR2016DL09)
摘 要:基于1988—2009年高时空分辨率的CCMP风场资料,分析了中国海及周边海域风能密度的分布特征,给出了这些海域风能密度的整体变化趋势、变化趋势的区域性差异和季节性差异,以期为风能资源开发工作提供科学依据。结果表明:(1)中国海及周边海域风能密度大值区主要分布于琉球群岛-台湾岛-南海大风区一线,呈东北-西南向带状分布,年平均风能密度能达到450 W/m^2以上。渤海、渤海海峡、黄海北部的年平均风能密度基本在200 W/m^2以内;黄海中南部为200~350 W/m^2;东海基本都在300 W/m^2以上;5°N以北的南海大部分海域的风能密度基本都在200 W/m^2以上;(2)近22 a期间,该区域的风能密度整体上以4.1637 W/(m2·yr)的速度逐年递增;(3)中国海及周边海域大范围海域的风能密度表现出显著性逐年线性递增趋势,同时也表现出较大的区域性差异,仅部分零星海域的风能密度表现出显著性递减趋势;(4)中国海及周边海域风能密度的变化趋势在近22 a期间表现出很大的季节性差异。冬季的递增趋势最为强劲,呈递增趋势的区域范围夜最广,春季次之,夏季和秋季呈显著性递增的区域范围相对较小。Based on the high resolution Cross-Calibrated, Multi-Platform(CCMP) wind data from 1988 to 2009,the characteristics of annual average wind power density and the long-term trend of the wind power density in the China Sea and adjacent waters are analyzed to provide reference for the development of wind energy resources.Results show that:(1) the high value area of the wind power density mainly distributes in the Ryukyu IslandsTaiwan Island-southeast of the Indo-China Peninsula, northeast-southwest to zonal distribution, with an annual value greater than 450 W/m^2. The annual average wind power is within 200 W/m^2 in the Bohai Sea, Bohai Strait,north of the Yellow Sea, 200~350 W/m^2 in the middle-south Yellow Sea, above 300 W/m^2 in most of the East China Sea, above 200 W/m^2 to the north of 5° N in the South China Sea.(2) Over the last 22 years, the annual average wind power density increases gradually with a rate of 4.1637 W/(m^2·yr).(3) Most of the China Sea wind power density exhibit an obvious increasing trend, only some small areas have no significant changing trend. There are obvious regional differences in the increasing trend of wind power density.(4) The increasing trend of the wind power density also exhibits significant seasonal differences. The increasing trend is strongest in winter, showed an increasing trend of regional widest range, followed by spring, summer and autumn showed significant incremental area is relatively small.
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