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江苏省太阳能资源评估
引用本文:曾燕,王珂清,谢志清,苗茜.江苏省太阳能资源评估[J].南京气象学院学报,2012(6):658-663.
作者姓名:曾燕  王珂清  谢志清  苗茜
作者单位:江苏省气候中心,江苏南京210008
基金项目:国家自然科学基金资助项目(41175077);科技部公益性行业科研专项(GYHY200806002);黔科合重大专项目[2011]6003号)
摘    要:采用1:25万DEM数据和常规气象站观测资料,实现了江苏省100mX100m分辨率太阳总辐射量分布式模拟,并分析了江苏省太阳总辐射量的时空分布规律。结果表明:江苏省气候平均太阳总辐射量为4749MJ/m2,呈现由西南向东北递增的特点,连云港市最高(5063MJ/m2),无锡市最低(4514MJ/m2)。太阳总辐射量在年内变化特点为,5月最高,12月最低。结合常规气象站日照时数观测资料,从年日照时数、年日照时数i〉6h的天数以及日照时数〉16h的最多天数月份与最少天数月份的天数的比值分析了江苏省太阳能资源的稳定度特征,其总体规律依然是西南至东北走向,即江苏省东北部地区太阳能资源开发利用优势最高。

关 键 词:江苏省  太阳总辐射  太阳能  资源评估

Solar radiation resources estimation in Jiangsu Province
ZENG Yan,WANG Ke-qing,XIE Zhi-qing,MIAO Qian.Solar radiation resources estimation in Jiangsu Province[J].Journal of Nanjing Institute of Meteorology,2012(6):658-663.
Authors:ZENG Yan  WANG Ke-qing  XIE Zhi-qing  MIAO Qian
Institution:( Jiangsu Climate Center,Nanjing 210008, China)
Abstract:Using the data of DEM with scale of 1 : 250 000 and routine meteorological observations, this paper achieves the distributed simulation of global solar radiation (GSR) of Jiangsu Province. Spatial distribution maps of normals of monthly and annual GSR with the resolution of 100 m x 100 m of Jiangsu Province are generated and their spatioemporal distribution characteristics are analyzed. The results are as follows: 1 )The normals of annual GSR in Jiangsu Province is 4 749 MJ/m2 ;2)The annual GSR has a progressive increasing trend from southwest to northeast, i. e. Lianyungang has the highest value of 5 063 MJ/m2 and Wuxi the lowest value of 4 514 MJ/m2 ;3 ) GSR in Jiangsu Province reaches the highest in May and the lowest in December. The statistics of sunshine hours observations, i. e. annual sunshine hours, annual days with daily sunshine hours I〉6 h and the ratio of the maximum to the minimum of monthly days with daily sunshine hours I〉6 h, are used to analyze the stability of solar radiation resource in Jiangsu. Its pattern also has a southwest to northeast change trend, which is to say that the northeast region of Jiangsu has the highest predominance in solar energy utilizing.
Keywords:Jiangsu Province  global solar radiation  solar energy  resource estimation
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