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Carbon dioxide emissions from cities in China based on high resolution emission gridded data 被引量:10
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作者 Bofeng Cai Jinnan Wang +2 位作者 Shuying Yang Xianqiang Mao Libin Cao 《Chinese Journal of Population,Resources and Environment》 2017年第1期58-70,共13页
Based on the China high resolution emission gridded data (I km spatial resolution), this article is aimed to create a Chinese city carbon dioxide (CO2) emission data set using consolidated data sources as well as ... Based on the China high resolution emission gridded data (I km spatial resolution), this article is aimed to create a Chinese city carbon dioxide (CO2) emission data set using consolidated data sources as well as normalized and standardized data processing methods. Standard methods were used to calculate city CO2 emissions, including scope I and scope 2. Cities with higher CO2 emissions are mostly in north, northeast, and eastern coastal areas. Cities with lower CO2 emissions are in the western region. Cites with higher CO2 emissions are clustered in the Jing-Jin-Ji Region (such as Beijing, Tianjin, and Tangshan), and the Yangtze River Delta region (such as Shanghai and Suzhou). The city per capita CO2 emission is larger in the north than the south. There are obvious aggregations of cities with high per capita CO2 emission in the north. Four cities among the top 10 per capita emissions (Erdos, Wuhai, Shizuishan, and Yinchuan) cluster in the main coal production areas of northern China. This indicates the significant impact of coal resources endowment on city industry and CO2 emissions. The majority (77%) of cities have annual CO2 emissions below 50 million tons. The mean annual emission, among all cities, is 37 million tons. Emissions from service-based cities, which include the smallest number of cities, are the highest. Industrial cities are the largest category and the emission distribution from these cities is close to the normal distribution. Emissions and degree of dispersion, in the other cities (excluding industrial cities and service-based cities), are in the lowest level. Per capita CO2 emissions in these cities are generally below 20 t/person (89%) with a mean value of 11 t/person. The distribution interval of per capita CO2 emission within industrial cities is the largest among the three city categories. This indicates greater differences among per capita CO2 emissions of industrial cities. The distribution interval of per capita CO2 emission of other cities is the lowest, indicating smaller differences of per capita CO2 emissions among this city category. Three policy suggestions are proposed: first, city CO2 emission inventory data in China should be increased, especially for prefecture level cities. Second, city responsibility for emission reduction, and partition- ing the national goal should be established, using a bottom-up approach based on specific CO2 emission levels and potential for emission reductions in each city. Third, comparative and bench- marking research on city CO2 emissions should be conducted, and a Top Runner system of city CO2 emission reduction should be established. 展开更多
关键词 CITY carbon dioxideemission China China highresolution emission griddeddata chred
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长江经济带城市蔓延及其对碳排放的影响研究 被引量:1
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作者 刘玉 《特区经济》 2021年第9期33-36,共4页
本文利用2005年、2010年、2015年长江经济带107个地级及以上城市地均碳排放数据、NPP-VIIRS夜间灯光数据、Landscan人口数据以及统计资料,在计算研究区地级市城市蔓延指数的基础上,基于空间杜宾模型分析城市蔓延对城市碳排放的影响。研... 本文利用2005年、2010年、2015年长江经济带107个地级及以上城市地均碳排放数据、NPP-VIIRS夜间灯光数据、Landscan人口数据以及统计资料,在计算研究区地级市城市蔓延指数的基础上,基于空间杜宾模型分析城市蔓延对城市碳排放的影响。研究结果显示:长江经济带城市整体呈现蔓延式发展;研究期间,该区城市蔓延对碳排放的影响显著为正,但城市蔓延对邻近城市的碳排放没有显著影响;其余各控制变量对该区碳排放的影响方向及大小各异。 展开更多
关键词 城市蔓延 碳排放 chred 空间杜宾模型 长江经济带
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