The research on the fairness of carbon emissions for China's energy based on GIS

Qiuxian Wang; Zhiqiang Gao; Jicai Ning; Qingshui Lu; Runhe Shi; Wei Gao

doi:10.1117/12.2022413

24 September 2013 The research on the fairness of carbon emissions for China's energy based on GIS

Qiuxian Wang, Zhiqiang Gao, Jicai Ning, Qingshui Lu, Runhe Shi, Wei Gao

Proceedings Volume 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X; 886910 (2013) https://doi.org/10.1117/12.2022413
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

This article firstly calculated China's energy carbon emissions of 30 provinces in 2010 with the method of carbon emission inventories of 2006 IPCC based on the data of China energy statistical yearbook, and then calculated its carbon emission intensity with GDP data in China’s statistical yearbook. Next according to the formed formula the author calculated the EEI (Economic Efficiency Index) and ECI (Ecological Carrying Index) and made some corresponding figures with the help of GIS to analyze the fairness of the China’s energy CO₂ emissions in 2010.The results showed that the distribution of China’s CO₂ emissions for energy in 2010 become lower from the Bohai bay to the surroundings and the west circle provinces are with the lowest energy carbon emissions. The intensity distribution of China’s CO₂ emissions for energy in 2010 becomes higher from southeast China to north China. The distributions of EEI, ECI and for China’s energy CO₂ emissions are quite different from each other, and also with their comprehensive result. As to the fairness of China’s energy CO₂ emissions in 2010, we can say that the south provinces are better than those of Bohai bay areas (except Beijing and Tianjing).

Citation Download Citation

Qiuxian Wang, Zhiqiang Gao, Jicai Ning, Qingshui Lu, Runhe Shi, and Wei Gao "The research on the fairness of carbon emissions for China's energy based on GIS", Proc. SPIE 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X, 886910 (24 September 2013); https://doi.org/10.1117/12.2022413

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