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Discussion papers
https://doi.org/10.5194/acp-2019-306
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-306
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 30 Apr 2019

Submitted as: research article | 30 Apr 2019

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Atmospheric Chemistry and Physics (ACP) and is expected to appear here in due course.

Severe winter haze days in the Beijing-Tianjin-Hebei region from 1985–2017 and the roles of anthropogenic emissions and meteorological parameters

Ruijun Dang1,2 and Hong Liao3 Ruijun Dang and Hong Liao
  • 1State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 10029, China
  • 2University of Chinese Academy of Sciences, Beijing, 10049, China
  • 3Collaborative Innovation Center of Atmospheric Environment and Equipment Technology/Joint International Research Laboratory of Climate and Environment Change, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China

Abstract. We applied a global 3-D chemical transport model (GEOS-Chem) to examine the variations in the frequency and intensity in severe winter haze days (SWHDs) in BTH from 1985–2017 and quantified the roles of changes in anthropogenic emissions and/or meteorological parameters. Comparisons between the simulated SWHDs and those obtained from the observed PM2.5 concentrations and atmospheric visibility showed that the model can capture the spatial and temporal variations of SWHDs in China; the correlation coefficient between the simulated and observed SWHDs is 0.98 at 161 grids in China. From 1985–2017, with changes in both anthropogenic emissions and meteorological parameters, the simulated frequency (total severe haze days in winter) and intensity (PM2.5 concentration averaged over severe haze days in winter) of SWHDs in BTH showed increasing trends of 4.5 days decade−1 and 13.7 μg m−3 decade−1, respectively. The simulated frequency exhibited fluctuations from 1985–2017, with a sudden decrease from 1992–2001 (29 days to 10 days) and a rapid growth from 2003–2012 (16 days to 47 days). The sensitivity simulations indicated that variations in meteorological parameters played a dominant role during 1992–2001, while variations in both emissions and meteorological parameters were important for the simulated frequency trend during 2003–2012 (simulated trends were 27.3 days decade−1 and 12.5 days decade−1 owing to changes in emissions alone and changes in meteorology alone, respectively). The simulated intensity showed a steady increase from 1985–2017, which was driven by changes in both emissions and meteorology. The results of this study have important implications for the control of SWHDs in BTH.

Ruijun Dang and Hong Liao
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Ruijun Dang and Hong Liao
Ruijun Dang and Hong Liao
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Short summary
We used a global chemical transport model to examine the historical changes in severe winter haze days (SWHDs) in Beijing-Tianjin-Hebei (BTH) of China. Simulated frequency of SWHDs in BTH showed an increasing trend over 1985–2017 with obvious fluctuations. We found that meteorology has dominated the frequency decrease in 1992–2001, and both anthropogenic emissions and meteorology contributed to the increase in 2003–2012. These results have important implications for the control of SWHDs in BTH.
We used a global chemical transport model to examine the historical changes in severe winter...
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