Temporospatial changes of carbon footprint based on energy consumption in China

被引:0
作者
Xiaowei Chuai
Li Lai
Xianjin Huang
Rongqin Zhao
Wanjing Wang
Zhigang Chen
机构
[1] Nanjing University,School of Geographic & Oceanic Science
[2] Land Development and Consolidation Technology Engineering Center of Jiangsu Province,undefined
[3] Jiangsu Information Center,undefined
来源
Journal of Geographical Sciences | 2012年 / 22卷
关键词
carbon emissions; carbon sink; carbon footprint; temporospatial changes; China;
D O I
暂无
中图分类号
学科分类号
摘要
Study on regional carbon emission is one of the hot topics under the background of global climate change and low-carbon economic development, and also help to establish different low-carbon strategies for different regions. On the basis of energy consumption and land use data of different regions in China from 1999 to 2008, this paper established carbon emission and carbon footprint models based on total energy consumption, and calculated the amount of carbon emissions and carbon footprint in different regions of China from 1999 to 2008. The author also analyzed carbon emission density and per unit area carbon footprint for each region. Finally, advices for decreasing carbon footprint were put forward. The main conclusions are as follows: (1) Carbon emissions from total energy consumption increased 129% from 1999 to 2008 in China, but its spatial distribution pattern among different regions just slightly changed, the sorting of carbon emission amount was: Eastern China > Northern China > Central and Southern China > Southwest China > Northwest China. (2) The sorting of carbon emission density was: Eastern China > Northeast China > Central and Southern China > Northern China > Southwest China > Northwest China from 1999 to 2003, but from 2004 Central and Southern China began to have higher carbon emission density than Northeast China, the order of other regions did not change. (3) Carbon footprint increased significantly since the rapid increasing of carbon emissions and less increasing area of productive land in different regions of China from 1999 to 2008. Northern China had the largest carbon footprint, and Northwest China, Eastern China, Northern China, Central and Southern China followed in turn, while Southwest China presented the lowest area of carbon footprint and the highest percentage of carbon absorption. (4) Mainly influenced by regional land area, Northern China presented the highest per unit area carbon footprint and followed by Eastern China, and Northeast China; Central and Southern China, and Northwest China had a similar medium per unit area carbon footprint; Southwest China always had the lowest per unit area carbon footprint. (5) China faced great ecological pressure brought by carbon emission. Some measures should be taken both from reducing carbon emission and increasing carbon absorption.
引用
收藏
页码:110 / 124
页数:14
相关论文
共 55 条
  • [1] Chunbo M.(2008)Biomass and China’s carbon emissions: A missing piece of carbon decomposition Energy Policy 36 2517-2526
  • [2] David S.(2008)Quantifying the global and distributional aspects of American household carbon footprint Ecological Economics 66 379-391
  • [3] Christopher L.(2007)The estimation of carbon sink of terrestrial vegetation from 1981 to 2000 in China Science in China: Series D 37 804-812
  • [4] Weber H.(2011)Energy use and CO Energy Procedia 5 370-376
  • [5] Scott M.(2011) emission inventories in the four municipalities of China Energy Procedia 5 1514-1518
  • [6] Fang J. Y.(2008)The calculation of carbon emissions of Shandong Province and the comparison with the national average Resources and Environment 18 38-42
  • [7] Guo Z. D.(2003)Characteristics of carbon emission in China and analysis on its cause Science 300 1538-1542
  • [8] Pu S. L.(2007)Europe’s terrestrial bio-sphere absorbs 7 to 12% of European anthropgenic CO Science 318 1107-478
  • [9] Geng Y. H.(2002) emission Land Degradation & Development 13 469-1223
  • [10] Peng C. H.(2011)Hurricane Katrina’s carbon footprint on U.S.gulf coast forest Journal of Cleaner Production 19 1216-222