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© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 31 Jan 2019

Submitted as: research article | 31 Jan 2019

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This discussion paper is a preprint. A revision of the manuscript is under review for the journal Atmospheric Chemistry and Physics (ACP).

The control of anthropogenic emissions contributed to 80 % of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017

Ziyue Chen1,2, Danlu Chen1, Meipo Kwan3, Bin Chen4, Nianliang Cheng5, Bingbo Gao6, Yan Zhuang1, Ruiyuan Li1, and Bing Xu7 Ziyue Chen et al.
  • 1College of Global and Earth System Science, Beijing Normal University, 19 Xinjiekou Street,Haidian, Beijing 100875, China
  • 2Joint Center for Global Change Studies, Beijing 100875, China
  • 3Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
  • 4Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA
  • 5Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • 6College of Land Science and Technology, China Agriculture University, Tsinghua East Road, Haidian District, 100083, China
  • 7Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084,China

Abstract. With the completion of the Beijing Five-year Clean Air Action Plan by the end of 2017, the annual mean PM2.5 concentrations in Beijing dropped dramatically to 58.0 μg/m3 in 2017 from 89.5 μg/m3 in 2013. However, controversies exist to argue that favorable meteorological conditions in 2017 that helped pollution dispersion were the major factor for such rapid decrease in PM2.5 concentrations. To comprehensively evaluate this five-year plan, we employed Kolmogorov-Zurbenko (KZ) filtering and a WRF-CMAQ model to quantify the relative contribution of meteorological conditions and the control of anthropogenic emissions to PM2.5 reduction in Beijing from 2013 to 2017. For these five years, the relative contribution of emission-reduction measures to the decrease of PM2.5 concentrations in Beijing calculated by KZ filtering and the WRF-CMAQ model was 80.6 % and 78.6 % respectively. The WRF-CMAQ model further revealed that local and regional emission-reduction measures contributed to 53.7 % and 24.9 % of the PM2.5 reduction respectively. For local emission-reduction measures, the regulation of coal boilers, increasing clean fuels for residential use, industrial restructuring, the regulation of raise dust and vehicle emissions contributed to 20.1 %, 17.4 %, 10.8 %, 3.0 % and 2.4 % of PM2.5 reduction respectively. Both models suggested that the control of anthropogenic emissions contributed to around 80 % of the total decrease in PM2.5 concentrations in Beijing, indicating that emission control was crucial for the notable improvement in air quality in Beijing from 2013 to 2017. Therefore, such long-term air quality clean plan should be continued for the future years to further reduce PM2.5 concentrations in Beijing. Considering that different emission-reduction measures exert distinct effects on PM2.5 reduction and existing emission-reduction measures work poorly to reduce ozone concentrations, future strategies for emission-reduction should be designed and implemented accordingly.

Ziyue Chen et al.
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Status: final response (author comments only)
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Ziyue Chen et al.
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