Articles | Volume 23, issue 21
https://doi.org/10.5194/acp-23-13597-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-13597-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mixing state and effective density of aerosol particles during the Beijing 2022 Olympic Winter Games
Aodong Du
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Jiaxing Sun
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Weiqi Xu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Yuting Zhang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China
Xubing Du
Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China
Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Guangzhou 510632, China
Yan Li
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Xiaole Pan
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Zifa Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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Cited
5 citations as recorded by crossref.
- Regional Transport Constrains the Microphysical Response of Black Carbon to Short-Term Emission Controls S. Ding et al. https://doi.org/10.1021/acs.est.6c00143
- Oxygenated Organic Molecules in Urban Beijing: Contrasting Summer–Winter Composition, Sources, and Roles in Secondary Organic Aerosol Formation Y. Li et al. https://doi.org/10.1021/acs.est.5c17177
- Source variations of atmospheric particles in response to control measures in northern China during 2022 winter olympics and paralympics: Evidence from microscopic analysis W. Li et al. https://doi.org/10.1016/j.envint.2024.109156
- Sources and potential health indicators in urban aerosols revealed by gas chromatography-mass spectrometry combined with nitrogen chemiluminescence detector: evidence from a megacity (Tianjin) of China J. Ma et al. https://doi.org/10.1016/j.atmosenv.2025.121345
- Insights into the seasonal characteristics of single particle aerosols in Chengdu based on SPAMS J. Zhang et al. https://doi.org/10.1016/j.jes.2024.01.018
5 citations as recorded by crossref.
- Regional Transport Constrains the Microphysical Response of Black Carbon to Short-Term Emission Controls S. Ding et al. https://doi.org/10.1021/acs.est.6c00143
- Oxygenated Organic Molecules in Urban Beijing: Contrasting Summer–Winter Composition, Sources, and Roles in Secondary Organic Aerosol Formation Y. Li et al. https://doi.org/10.1021/acs.est.5c17177
- Source variations of atmospheric particles in response to control measures in northern China during 2022 winter olympics and paralympics: Evidence from microscopic analysis W. Li et al. https://doi.org/10.1016/j.envint.2024.109156
- Sources and potential health indicators in urban aerosols revealed by gas chromatography-mass spectrometry combined with nitrogen chemiluminescence detector: evidence from a megacity (Tianjin) of China J. Ma et al. https://doi.org/10.1016/j.atmosenv.2025.121345
- Insights into the seasonal characteristics of single particle aerosols in Chengdu based on SPAMS J. Zhang et al. https://doi.org/10.1016/j.jes.2024.01.018
Saved (final revised paper)
Latest update: 01 Jun 2026
Short summary
We characterized the impacts of emission controls on particle mixing state and density during the Beijing Olympic Winter Games using a SPAMS in tandem with a DMA and an AAC. OC and sulfate-containing particles increased, while those from primary emissions decreased. The effective particle densities increased and varied largely for different particles, highlighting the impacts of aging and formation processes on the changes of particle density and mixing state.
We characterized the impacts of emission controls on particle mixing state and density during...
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