4.2 Article

Government environmental control measures on CO2 emission during the 2014 Youth Olympic Games in Nanjing: Perspectives from a top-down approach

期刊

JOURNAL OF ENVIRONMENTAL SCIENCES
卷 113, 期 -, 页码 165-178

出版社

SCIENCE PRESS
DOI: 10.1016/j.jes.2021.04.016

关键词

Carbon dioxide; Reduction measures; Anthropogenic emissions; Bayesian inversion

资金

  1. Natural Science Foundation of Jiangsu Province [BK20200802]
  2. National Key R&D Program of China [2020YFA0607501, 2019YFA0607202]
  3. National Natural Science Foundation of China [42021004]
  4. Technology Foundation for Selected Overseas Chinese Scholar, Nanjing [013108039]
  5. Open Research Project of Shangdianzi National Atmospheric Background Station [SDZ2020617]
  6. start-up foundation from Nanjing Forestry University
  7. Jiangxi Provincial Natural Science Foundation [20202BAB213019]

向作者/读者索取更多资源

Strict air pollution control measures during the 2014 Youth Olympic Games in Nanjing led to a significant reduction of anthropogenic CO2 emissions by 36.7% in Nanjing city and 38.0% in Jiangsu Province.
Strict air pollution control measures were conducted during the Youth Olympic Games (YOG) period at Nanjing city and surrounding areas in August 2014. This event provides a unique chance to evaluate the effect of government control measures on regional atmospheric pollution and greenhouse gas emissions. Many previous studies have observed significant reductions of atmospheric pollution species and improvement in air quality, while no study has quantified its synergism on anthropogenic CO2 emissions, which can be co-reduced with air pollutants. To better understand to what extent these pollution control measures have reduced anthropogenic CO2 emissions, we conducted atmospheric CO2 measurements at the suburban site in Nanjing city from 1st July to 30th September 2014 and 1st August to 31st August 2015, obvious decrease in atmospheric CO2 was observed between YOG and the rest period. By coupling the a priori emission inventory with atmospheric transport model, we applied the scale factor Bayesian inversion approach to derive the posteriori CO2 emissions in YOG period and regular period. Results indicate CO2 emissions from power industry decreased by 45%, and other categories also decreased by 16% for manufacturing combusting, and 37% for non-metallic mineral production. Monthly total anthropogenic CO2 emissions were 9.8 (+/- 3.6) x 10(9) kg/month CO2 for regular period and decreased to 6.2 (+/- 1.9) x 10(9) kg/month during the YOG period in Nanjing city, with a 36.7% reduction. When scaling up to whole Jiangsu Province, anthropogenic CO2 emissions were 7.1 (+/- 2.4) x 10(10) kg/month CO2 for regular period and decreased to 4.4 (+/- 1.2) x 10(10) kg/month CO2 during the YOG period, yielding a 38.0% reduction. (C) 2021 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.

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