@inproceedings{87c0577a5ebd4e60b22d9d6092c9cea6,
title = "The research on the fairness of carbon emissions for China's energy based on GIS",
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 CO 2 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).",
keywords = "China's energy, ECI, EEI, GIS, carbon emission, fairness",
author = "Qiuxian Wang and Zhiqiang Gao and Jicai Ning and Qingshui Lu and Runhe Shi and Wei Gao",
year = "2013",
doi = "10.1117/12.2022413",
language = "英语",
isbn = "9780819497192",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability X",
address = "美国",
note = "Remote Sensing and Modeling of Ecosystems for Sustainability X ; Conference date: 26-08-2013 Through 29-08-2013",
}
