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基于DMSP/OLS数据的区域碳排放时空动态研究 被引量:15

Spatial-temporal dynamics of carbon dioxide emissions in China based on DMSP/OLS nighttime stable light data
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摘要 选取IPCC碳排放核算方法并基于能源统计数据,核算了我国大陆30个省市的能源消耗碳排放量,利用纠正后的DMSP/OLS夜间灯光数据与相应空间单元的碳排放量进行回归分析,反演出1km×1km栅格的电力消耗碳排放量并分析其在地级市尺度上的时空变化.核算出2005年、2010年和2013年能源消耗排放总量分别为57.02,82.28和93.26亿t,其中电力碳排放量分别为23.03,35.62和42.07亿t.结果表明:校正后的DMSP/OLS夜间灯光数据能更好地估算碳排放,其DN总值与统计的省级能源消耗排放量、电力消耗排放量均存在较强的相关关系;整体而言,发达地区能源消耗排放量大但强度比较低. Based on CO2 emissions accounting method recommended by IPCC and energy statistical data,the CO2 emissions of energy consumption in 30 provinces in China's Mainland were calculated.And the regression analysis has been done with the corrected DMSP/OLS night light data and CO2 emissions under the same spatial unit.A 1km×1km grid CO2 emissions of electricity consumption has been simulated and its spatial-temporal change in municipal scale also been analyzed.China's total CO2 emissions of energy consumption in 2005,2010 and 2013 was 5.702,8.228 and 9.326 billion tons respectively.Accordingly,the CO2 emissions of electricity consumption was 2.303,3.562 and 4.207 billion tons respectively.The result shown that corrected DMSP/OLS night light data can be used to estimate CO2 emissions much better than uncorrected data,and a relatively strong correlation between the total value of DN,statistic CO2 emissions of energy consumption and electricity consumption existed at the provincial level.Relatively,total CO2 emissions in developed areas is high but its intensity is low.
作者 李海萍 龙宓 李光一 LI Hai-ping;LONG Mi;LI Guang-yi(School of Environment&Natural Resources,Renmin University of China,Beijing 100872,China)
出处 《中国环境科学》 EI CAS CSSCI CSCD 北大核心 2018年第7期2777-2784,共8页 China Environmental Science
基金 中央高校建设世界一流大学(学科)和特色发展引导专项资金
关键词 DMSP/OLS数据 能源消耗碳排放 电力消耗碳排放 时空动态变化 DMSP/OLS data CO2 emissions of energy consumption CO2 emissions of electricity consumption spatial-temporal dynamics
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