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Influence of complex topography on global solar radiation in the Yangtze River Basin 被引量:4
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作者 WANG Li QIU Xinfa WANG Peifa WANG Xiaoying LIU Aili 《Journal of Geographical Sciences》 SCIE CSCD 2014年第6期980-992,共13页
Global solar radiation(GSR) is the most direct source and form of global energy, and calculation of its quantity is highly complex due to influences of local topography and terrain inter-shielding. Digital elevation... Global solar radiation(GSR) is the most direct source and form of global energy, and calculation of its quantity is highly complex due to influences of local topography and terrain inter-shielding. Digital elevation model(DEM) data as a representation of the complex terrain and multiplicity condition produces a series of topographic factors(e.g. slope, aspect, etc.). Based on 1 km resolution DEM data, meteorological observations and NOAA-AVHRR remote sensing data, a distributed model for the calculation of GSR over rugged terrain within the Yangtze River Basin has been developed. The overarching model permits calculation of astronomical solar radiation for rugged topography and comprises a distributed direct solar radiation model, a distributed diffuse radiation model and a distributed terrain reflectance radiation model. Using the developed model, a quantitative simulation of the GSR space distribution and visualization has been undertaken, with results subsequently analyzed with respect to locality and terrain. Analyses suggest that GSR magnitude is seasonally affected, while the degree of influence was found to increase in concurrence with increasing altitude. Moreover, GSR magnitude exhibited clear spatial variation with respect to the dominant local aspect; GSR values associated with the sunny southern slopes were significantly greater than those associated with shaded slopes. Error analysis indicates a mean absolute error of 12.983 MJm-2 and a mean relative error of 3.608%, while the results based on a site authentication procedure display an absolute error of 22.621 MJm-2 and a relative error of 4.626%. 展开更多
关键词 rugged terrain global solar radiationgsr distributed model Digital Elevation Model Yangtze River Basin
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近10年中国三大经济区太阳总辐射特征及其与O_3、PM_(2.5)的关系 被引量:51
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作者 刘长焕 邓雪娇 +1 位作者 朱彬 殷长秦 《中国环境科学》 EI CAS CSSCI CSCD 北大核心 2018年第8期2820-2829,共10页
采用中国地面气象观测站网2007~2016年的辐射日值数据集和中国空气质量在线监测平台2014~2016年逐日观测数据,分析了京津冀、长三角和珠三角近10a太阳总辐射年际和季节变化,近3a臭氧日最大8h平均(O_(3_8h_max))和细颗粒物(PM_(2.5))... 采用中国地面气象观测站网2007~2016年的辐射日值数据集和中国空气质量在线监测平台2014~2016年逐日观测数据,分析了京津冀、长三角和珠三角近10a太阳总辐射年际和季节变化,近3a臭氧日最大8h平均(O_(3_8h_max))和细颗粒物(PM_(2.5))的污染过程频次变化,通过不同因子及其不同强度等级的分型统计,探讨PM_(2.5)、O_(3_8h_max)与太阳总辐射的关系.结果表明:京津冀近10a太阳总辐射显著上升,京津冀春季和珠三角夏季太阳总辐射显著上升.三大经济区PM_(2.5)污染过程年频次均呈现逐年递减,且从北到南递减;O_3污染过程年频次时间上呈现先减后增,空间上京津冀多于长三角和珠三角.三大经济区O_(3_8h_max)与太阳总辐射相关系数均在0.71以上,有较强的正相关;而PM_(2.5)与太阳总辐射的相关性具有区域差异性.三大经济区不同季节不同太阳总辐射下O_(3_8h_max)与PM_(2.5)的相关关系差异显著,其中京津冀春夏秋三季O_(3_8h_max)与PM_(2.5)在强太阳总辐射下有较好的正相关,冬季则存在一定的负相关;长三角四季两者相关性均较弱;珠三角夏季两者正相关最为显著;不同PM_(2.5)浓度下O_(3_8h_max)与太阳总辐射的线性拟合效果较好,体现出较强的正相关关系,各经济区拟合曲线的倾向率均随PM_(2.5)升高而增大.PM_(2.5)>75μg/m^3时拟合优度均达到最大. 展开更多
关键词 太阳总辐射 O3 PM2.5 关系 中国三大经济区
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