• DocumentCode
    2920526
  • Title

    Prediction on Net Carbon Emissions of Yunnan under Emissions and Forest Carbon Sinks

  • Author

    Hui-ya, Lui ; Zheng, Wang ; Xiao-zhe, Ma ; Yong-bin, Zhu

  • Author_Institution
    Key Lab. of Geogr. Inf. Sci., East China Normal Univ., Shanghai, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    1266
  • Lastpage
    1269
  • Abstract
    This paper predicts Net Carbon Emissions of Yunnan form 2007 to 2050 through energy consumption carbon emissions based on economic growth model and forest carbon sinks based on CO2FIX model. Further, we analyze the influencing factors of carbon emissions reduction and the contribution of forest carbon sinks to carbon emissions reduction, and then study low-carbon economy. The curves of energy consumption carbon emissions and net carbon emissions have an inverted "U" type, respectively with a peak value 129.71 MtC at 2035 and 118.89 MtC at 2035. We study carbon emissions from all aspects, including carbon emissions intensity, the carbon emissions, the declining rate of carbon emissions intensity, and the per capita net carbon emissions. Finally, we found that carbon emissions is more than carbon sinks by forests, and net carbon emissions inevitably increase due to the high-speed development of the economy, Afforestation and protecting the original forests can ecologically reduce carbon emissions. Facing the global carbon emissions, we need to develop low-carbon economy and take the path of sustainable development.
  • Keywords
    air pollution control; carbon; energy consumption; environmental economics; forestry; sustainable development; CO2FIX model; Yunnan; afforestation; carbon emissions intensity; carbon emissions reduction; economic growth model; energy consumption carbon emissions; forest carbon sinks; low-carbon economy; net carbon emission prediction; sustainable development; Computers; Decision support systems; Distributed control; Mercury (metals); Monitoring; Carbon Emissions; Carbon Emissions Intensity; Energy Consumption; Forest Carbon Emissions; Low Carbon Economy; Peak;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Electronic_ISBN
    978-0-7695-4350-5
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.239
  • Filename
    5748044