Preprints
https://doi.org/10.5194/acp-2022-565
https://doi.org/10.5194/acp-2022-565
 
22 Sep 2022
22 Sep 2022
Status: this preprint is currently under review for the journal ACP.

Measurement Report: Year-to-year Variability and Influence of Winter Olympics and other Special Events on Air Quality in Urban Beijing during Wintertime

Yishuo Guo1,2,, Chenjuan Deng3,2,, Aino Ovaska2, Feixue Zheng1, Chenjie Hua1, Junlei Zhan1, Yiran Li3, Jin Wu3, Zongcheng Wang1, Jiali Xie1, Ying Zhang1, Tingyu Liu1, Yusheng Zhang1, Boying Song1, Wei Ma1, Yongchun Liu1, Chao Yan4,1,2, Jingkun Jiang3, Veli-Matti Kerminen2, Men Xia2,1, Tuomo Nieminen2, Wei Du2,1, Tom Kokkonen2,1,4, and Markku Kulmala1,2 Yishuo Guo et al.
  • 1Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
  • 2Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Finland
  • 3State Key Joint Laboratory of Environment Simulation and Pollution Control, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, China
  • 4Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing, China
  • These authors contributed equally to this work.

Abstract. Comprehensive measurements are vital to obtain big enough datasets for better understanding the complex atmosphere and further improving the air quality. To investigate the year-to-year variabilities of air quality and influences of special events (Beijing Winter Olympics, COVID lockdown and Chinese New Year) on it during the wintertime in a polluted urban air, we conducted comprehensive observations in Beijing, China, during January 1st – February 20th, in the years from 2019 to 2022. The mass concentration of PM2.5 and its composition (organics, nitrate, sulfate, ammonium, chloride and black carbon), number size distributions of particles (down to ~1 nm) and ions, gaseous pollutants (CO, NOx, SO2, O3), condensable vapors (sulfuric acid and oxygenated organic molecules), as well as meteorological parameters were simultaneously measured. We selected the period before January 22nd without any special events in each year to show the year-to-year variabilities of the air quality. We found that the concentrations of PM2.5, black carbon, chloride, organics, CO, NOx, total oxygenated organic molecules and number concentration of sub 3 nm particles showed similar year-to-year variabilities, decreasing from 2019 to 2021 and then increasing in 2022. On the contrary, SO2 concentrations decreased year by year due to the significant emission reduction, leading to decreasing mass concentrations of sulfate and number concentration of sulfuric acid monomer and dimer from 2019 to 2022. As for the influence of special events, due to the favorable meteorological conditions together with reductions in anthropogenic emissions, there were basically no haze events during Beijing Winter Olympics. Although there was emission reduction also during the COVID lockdown period, especially for NOx, the enhancement of secondary inorganic aerosol formation, together with unfavorable meteorological conditions, caused severe haze events during this period. Additionally, these special events had only little impacts on the new particle formation processes. These results provide useful information to the development of more targeted pollution control plans.

Yishuo Guo et al.

Status: open (until 03 Nov 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Yishuo Guo et al.

Data sets

Measurement Report: Year-to-year Variability and Influence of Winter Olympics and other Special Events on Air Quality in Urban Beijing during Wintertime Guo, Yishuo, Deng, Chenjuan, Du, Wei, Kokkonen, Tom, Ovaska, Aino, Zheng, Feixue, Hua, Chenjie, Zhan, Junlei, Li, Yiran, Wu, Jin, Wang, Zongcheng, Xie, Jiali, Zhang, Ying, Liu, Tingyu, Zhang, Yusheng, Song, Boying, Ma, Wei, Liu, Yongchun, Yan, Chao, … Kulmala, Markku https://doi.org/10.5281/zenodo.7100748

Yishuo Guo et al.

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Short summary
Using the comprehensive datasets, we investigated the long-term variations of air pollutants during winter Beijing from 2019 to 2022, and analyzed the characteristics of atmospheric pollution cocktail during different short-term special events (e.g. Beijing Winter Olympics, COVID lockdown and Chinese New Year periods) associated with substantial emission reductions. Our results are useful in planning more targeted and sustainable long-term pollution control plans.
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