The Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning , 8 Dayangfang, Beiyuan Road, Chaoyang District, Beijing 100012, China.
Environ Sci Technol. 2014 Jun 17;48(12):7085-93. doi: 10.1021/es405369r. Epub 2014 Jun 5.
A high spatial resolution carbon dioxide (CO2) emission map of China is proving to be essential for China's carbon cycle research and carbon reduction strategies given the current low quality of CO2 emission data and the inconsistencies in data quality between different regions. Ten km resolution CO2 emission gridded data has been built up for China based on point emission sources and other supporting data. The predominance of emissions from industrial point sources (84% of total emissions) in China supports the use of bottom-up methodology. The resultant emission map is informative and proved to be more spatially accurate than the EDGAR data. Spatial distribution of CO2 emissions in China is highly unbalanced and has positive spatial autocorrelation. The spatial pattern is mainly influenced by key cities and key regions, i.e., the Jing-Jin-Ji region, the Yangtze River delta region, and the Pearl River delta region. The emission map indicated that the supervision of 1% of total land could enable the management of about 70% of emissions in China.
中国高空间分辨率二氧化碳（CO2）排放图对于中国的碳循环研究和减排战略至关重要，因为目前 CO2 排放数据的质量较低，且不同地区的数据质量存在差异。本研究基于点排放源和其他支持数据，建立了中国的十公里分辨率 CO2 排放网格化数据。中国工业点源排放（占总排放量的 84%）占据主导地位，支持使用自下而上的方法。生成的排放图信息丰富，且被证明比 EDGAR 数据具有更高的空间准确性。中国 CO2 排放量的空间分布极不平衡，且具有正空间自相关。空间格局主要受关键城市和关键地区的影响，即京津冀地区、长江三角洲地区和珠江三角洲地区。该排放图表明，对总面积 1%的土地进行监管，就可以管理中国约 70%的排放量。
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