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作 者:常俊芳[1] 黄韦艮[2] 楼琇林[2] 史爱琴[2] 张华国[2]
机构地区:[1]中国海洋大学海洋遥感所,青岛266100 [2]国家海洋局第二海洋研究所卫星海洋环境动力学国家重点实验室,杭州310012
出 处:《高技术通讯》2013年第5期467-475,共9页Chinese High Technology Letters
基 金:863计划(2007AA092003);上海市科学技术委员会科研计划(08DZ1206304);国家海洋局第二海洋研究所科研业务(JG1015;JT1008)资助项目
摘 要:基于星载含成孔径雷达(SAR)遥感影像,研究了浙江近岸海域风能资源的分布。利用2005-2011年443景ENVISATASAR影像反演了浙江沿海长时间序列高分辨率海面10m高度处的风场数据,风速反演采用CMOD4模式,风向信息来自全球再分析场资料NCEP-NCAR。基于所提取的风场数据,对浙江沿海风能资源进行了评估。利用研究海域浮标观测的风速数据对基于ENVISATASAR影像的风能资源评估结果进行了对比验证,结果显示,Weibull分布参数尺度因子A相对误差为1.59%,形状参数k相对误差为7.83%。对浙江沿海风能资源分布状况进行了研究,结果表明,浙江沿海风能资源极为丰富,该海域海面10m高度处的多年平均风速为5~10m/s,近岸海域50km范围内年平均风能密度达到100~300W/m^2,其南部海域风能资源最为丰富,年平均风能密度最大可达500W/m^2。浙江沿海风能资源的分布在季节上呈现"秋冬季资源量大,春夏季资源量小"的特征。The distribution of the offshore wind energy resources along the Zhejiang coast was researched based on the space-borne synthetic aperture radar (SAR) images. The data of long time sequence sea surface wind filed at the height of 10m along the Zhejiang coast were retrieved from 443 scenes of ENVISAT ASAR images obtained from 2005 to 2011. The wind direction data from the global reanalysis data of NCEP-NCAR were used as an input to the geophysical model function CMOD4 for SAR wind retrieval. Based on the wind field data, the wind energy resources were assessed accurately. The Weibull probability density function, parameters of scale (A) and shape (k), from the ENVISAT ASAR-derived wind speed, were respectively compared with that from the buoy observation wind speed, and the results showed that the relative error was 6.36% forA, but 9.67% fork. The characteristics of the Zhejiang coast wind resource distribution were researched. The results showed that the wind energy resources along the Zhejiang coast were rich. The sea surface annual average wind speed at the height of 10m was 5 - 10m/s, and the annual average wind power density reached 100 - 300W/m2 within 50km away from the coastline. The region richest in wind energy resources was located in south sea of the Zhejiang coast, and the largest wind power density reached 500W/m2. The seasonal feature of wind resource showed that the wind power was rich in autumn and winter, while it was relatively poor in spring and summer.
关 键 词:ENVISAT ASAR 浙江沿海 海面风场 风能资源评估
分 类 号:TK81[动力工程及工程热物理—流体机械及工程]
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