| 中国1960-2016年风能资源的时空分布特征 |
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| 作者姓名： | FENG Yucheng QUE Linjing FENG Jinming |
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| 作者单位： | School of Information Engineering;Institute of Atmospheric Physics;Heilongjiang Province Meteorological Service Center |
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| 基金项目： | This work was supported by the National Key R&D Program of China[grant numbers 2016YFA0600403 and 2016YFA0602501];the General Project of the National Natural Science Foundation of China[grant number 41875134]. |
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| 摘 要： | 基于462个气象观测站1960–2016年共57年的近地面风速日资料,利用克里格空间内插,最小二乘法,相关系数检验和经验正交函数分解(EOF)等方法分析了年均和各个季节中国区域风速及有效风能密度的时空变化特征。研究结果表明:在中国北部和部分沿海地区年平均风速在3 m s-1以上,有效风能密度在75 W m-2以上,而在中国南部地区平均风速和有效风能密度均较小。近五十多年以来,中国区域年均和季节平均风速呈明显下降趋势,北部地区春季递减率最大,沿海地区冬季递减率最大。广东部分地区年平均风速有增大的趋势,西南,华南和华中西部地区年平均风速变化不大。平均风速大的区域,递减率也大。年平均风速和年有效风能密度的主要空间分布模态表现出高度的一致性,均呈现逐年减小趋势。中国风速及风能资源的减小趋势,主要与全球变暖及土地利用变化有关。
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| 关 键 词： | 风速 风能资源 有效风能密度 经验正交函数分解 时空变化特征 |
Spatiotemporal characteristics of wind energy resources from 1960 to 2016 over China |
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| FENG Yucheng,QUE Linjing,FENG Jinming.Spatiotemporal characteristics of wind energy resources from 1960 to 2016 over China[J].Atmospheric and Oceanic Science Letters,2020(2):136-145. |
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| Abstract: | In the paper,daily near-surface wind speed data from 462 stations are used to study the spatiotemporal characteristics of the annual and seasonal mean wind speed(MWS)and effective wind energy density(EWED)from 1960 to 2016,through the methods of kriging interpolation,leastsquares,correlation coefficient testing,and empirical orthogonal function(EOF)analysis.The results show that the annual MWS is larger than 3 m s-1 and the EWED is larger than 75 W m-2 in northern China and parts of coastal areas.However,the MWS and EWED values in southern China are all smaller than in northern China.Over the past 50 years,the annual and seasonal MWS in China has shown a significant decreasing trend,with the largest rate of decline in spring for northern China and winter for coastal areas.The annual MWS in some areas of Guangdong has an increasing trend,but it shows little change in southwestern China,South China,and west of Central China.Where the MWS is high,the rate of decline is also high.The main spatial distributions of the annual MWS and the annual EWED show high consistency,with a decreasing trend year by year.The decreasing trend of wind speed and wind energy resources in China is mainly related to global warming and land use/cover change. |
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| Keywords: | Wind speed wind energy resources effective wind energy density empirical orthogonal function spatiotemporal characteristics |
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