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Volume 38 Issue 11
Apr.  2021
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2020  >  38(11): 39-43
CUI Xiu-zhen, XU Shao-dong, GAO Han-bo, WANG Jun-xia, CAI Bo-feng. REFERENCE OF URBAN AIR POLLUTANTS EMISSION PATH FOR CARBON EMISSION PEAKING[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(11): 39-43. doi: 10.13205/j.hjgc.202011007
Citation: CUI Xiu-zhen, XU Shao-dong, GAO Han-bo, WANG Jun-xia, CAI Bo-feng. REFERENCE OF URBAN AIR POLLUTANTS EMISSION PATH FOR CARBON EMISSION PEAKING[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(11): 39-43. doi: 10.13205/j.hjgc.202011007
shu

REFERENCE OF URBAN AIR POLLUTANTS EMISSION PATH FOR CARBON EMISSION PEAKING

doi: 10.13205/j.hjgc.202011007

  • 1. School of Environment, Tsinghua University, Beijing 100083, China;

  • 2. School of Statistics, Renmin University of China, Beijing 100872, China;

  • 3. China National Environmental Monitoring Centre, Beijing 100012, China;

  • 4. Center for Climate Change and Environmental Policy, Chinese Academy of Environmental Planning, Beijing 100012, China

  • Received Date: 2020-09-20
    Available Online: 2021-04-23
  • Publish Date: 2021-04-23
    Abstract
  • Based on the available urban SO2 and CO2 emission inventory data, from the perspective of data mining, we explored the similarities and differences between the two emission trends and found out the reference significance of analyzing the relationship for predicting the CO2 emission trends. DTW algorithm was used to realize the matching pattern of CO2 and SO2 on the time axis. Cities were classified as lag type, synchronous type and advanced type, based on DTW. The carbon emission peak year of cities were estimated due to emission path types. At last, suggestions were proposed for future carbon emission reduction of the cities.
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