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https://doi.org/10.5194/acp-2020-920
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2020-920
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Nov 2020

14 Nov 2020

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This preprint is currently under review for the journal ACP.

Effectiveness of emission control to reduce PM2.5 pollution of Central China during winter haze episodes under various potential synoptic controls

Yingying Yan1,, Yue Zhou2,, Shaofei Kong1,4, Jintai Lin3, Jian Wu1,4, Huang Zheng1,4, Zexuan Zhang1,4, Yongqing Bai2, Zhang Ling2, Dantong Liu5, and Tianliang Zhao6 Yingying Yan et al.
  • 1Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China
  • 2Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Institute of Heavy Rain, China Meteorological Administration, Wuhan 430205, China
  • 3Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
  • 4Department of Environmental Science and Engineering, School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China
  • 5Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, Zhejiang, China
  • 6School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
  • These authors contributed equally to this work.

Abstract. Currently solving the severe particle pollution in autumn and winter is the key to further improve the air quality of China. The source contributions and transboundary transport of fine particles (PM2.5) in pollution episodes are closely related to large-scale or synoptic-scale atmospheric circulation. Under different synoptic conditions, how to effectively reduce emissions to control haze pollution is rarely reported. In this study, we classify the synoptic conditions over Central China from 2013 to 2018 by using Lamb-Jenkension method and the NCEP/NCAR FNL operational global analysis data. The effectiveness of emission control to reduce PM2.5 pollution during winter haze episodes under potential synoptic controls is simulated by GEOS-Chem model. Among the ten identified synoptic patterns, four types account for 87 % of the total pollution days. Two typical synoptic modes of them are characterized by small surface wind speed and stable weather conditions/high relative humidity (A/C-type) over Central China due to a high-pressure system/a southwest trough low-pressure system, blocking pollutants dispersion. Sensitivity simulations show that these two heavy pollution processes are mainly contributed by local emission sources with ~82 % for A-type and ~85 % for C-type, respectively. The other two patterns lead to pollution of transportation characteristics affected by northerly/southerly winds (NW/SW-type), carrying air pollution from northern/southern China to Central China. The contribution of pollution transportation from North/South China is 36.9 %/7.6 % of PM2.5 and local emission sources contribute 41 %/69 %. We also estimate the effectiveness of emission reduction in these four typical severe pollution synoptic processes. By only reducing SO2 and NOx emission and not controlling NH3, the enhanced nitrate counteracts the effect of sulfate reduction on PM2.5 mitigations with less than 4% decrease in PM2.5. In addition, to effectively mitigate haze pollution in NW/SW-type synoptic controlled episodes, local emission control actions should be in coordination with regional collaborative actions.

Yingying Yan et al.

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Short summary
We analyse the effectiveness of emission reduction of local and upwind regions during the winter haze episodes controlled by the main potential synoptic patterns over Central China, a regional pollutant transport hub with sub basin topography.Our results provide an opportunity to effectively mitigate haze pollution by local emission control actions in coordination with regional collaborative actions according to different synoptic patterns.
We analyse the effectiveness of emission reduction of local and upwind regions during the winter...
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