Articles | Volume 21, issue 6
https://doi.org/10.5194/acp-21-4471-2021
© Author(s) 2021. 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-21-4471-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Temporally resolved sectoral and regional contributions to air pollution in Beijing: informing short-term emission controls
Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom
now at: Campus Fryslân, University of Groningen, Leeuwarden, the Netherlands
Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom
Edmund Ryan
School of Mathematics, University of Manchester, Manchester, United Kingdom
Ying Chen
Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom
now at: College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom
Jie Li
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Zifa Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
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Cited
14 citations as recorded by crossref.
- Haze Occurrence Caused by High Gas-to-Particle Conversion in Moisture Air under Low Pollutant Emission in a Megacity of China Q. Ma et al. https://doi.org/10.3390/ijerph19116405
- From conventional monitoring to intelligent prediction: data-driven analysis of inorganic elements in atmospheric wet deposition at an urban site in Lanzhou C. Li et al. https://doi.org/10.1016/j.envres.2026.123893
- Temporal Source Apportionment of PM2.5 Over the Pearl River Delta Region in Southern China Y. Chen et al. https://doi.org/10.1029/2021JD035271
- Explaining trends and changing seasonal cycles of surface ozone in North America and Europe over the 2000–2018 period: a global modelling study with NOx and VOC tagging T. Ansari et al. https://doi.org/10.5194/acp-25-16833-2025
- Revisiting PM2.5 pollution along urban-rural gradient and its coupling with urbanization process, a new perspective from urban pollution island analysis L. Yao et al. https://doi.org/10.1016/j.uclim.2022.101270
- “Military Parade Blue Skies” in Beijing: Decisive Influence of Meteorological Factors on Transport Channel and Atmospheric Pollutant Concentration Level S. Yang et al. https://doi.org/10.3390/atmos12050636
- Last defense in climate change: Assessing healthcare inequities in response to compound environmental risk in a megacity in Northern China Q. Cheng & S. Sha https://doi.org/10.1016/j.scs.2024.105886
- Source apportionment of fine secondary inorganic aerosol over the Pearl River Delta region using a hybrid method W. Chen et al. https://doi.org/10.1016/j.apr.2021.101061
- Emitted yesterday, polluting today: temporal source apportionment of fine particulate matter pollution over Central Europe P. Huszár et al. https://doi.org/10.5194/acp-26-4377-2026
- Mechanisms and Pathways for Coordinated Control of Fine Particulate Matter and Ozone N. Ojha et al. https://doi.org/10.1007/s40726-022-00229-4
- Potential heterogeneity in the relationship between urbanization and air pollution, from the perspective of urban agglomeration Y. Wang et al. https://doi.org/10.1016/j.jclepro.2021.126822
- A novel ensemble learning algorithm integrating WRF-CMAQ and downscaling models for hourly estimation of regional air pollution along with vegetation exposure risk detection P. Zhou et al. https://doi.org/10.1080/17538947.2025.2509825
- New insight into the urban PM2.5 pollution island effect enabled by the Gaussian surface fitting model: A case study in a mega urban agglomeration region of China L. Yao et al. https://doi.org/10.1016/j.jag.2022.102982
- Importing or self-dependent: energy transition in Beijing towards carbon neutrality and the air pollution reduction co-benefits J. Liu et al. https://doi.org/10.1007/s10584-022-03413-z
14 citations as recorded by crossref.
- Haze Occurrence Caused by High Gas-to-Particle Conversion in Moisture Air under Low Pollutant Emission in a Megacity of China Q. Ma et al. https://doi.org/10.3390/ijerph19116405
- From conventional monitoring to intelligent prediction: data-driven analysis of inorganic elements in atmospheric wet deposition at an urban site in Lanzhou C. Li et al. https://doi.org/10.1016/j.envres.2026.123893
- Temporal Source Apportionment of PM2.5 Over the Pearl River Delta Region in Southern China Y. Chen et al. https://doi.org/10.1029/2021JD035271
- Explaining trends and changing seasonal cycles of surface ozone in North America and Europe over the 2000–2018 period: a global modelling study with NOx and VOC tagging T. Ansari et al. https://doi.org/10.5194/acp-25-16833-2025
- Revisiting PM2.5 pollution along urban-rural gradient and its coupling with urbanization process, a new perspective from urban pollution island analysis L. Yao et al. https://doi.org/10.1016/j.uclim.2022.101270
- “Military Parade Blue Skies” in Beijing: Decisive Influence of Meteorological Factors on Transport Channel and Atmospheric Pollutant Concentration Level S. Yang et al. https://doi.org/10.3390/atmos12050636
- Last defense in climate change: Assessing healthcare inequities in response to compound environmental risk in a megacity in Northern China Q. Cheng & S. Sha https://doi.org/10.1016/j.scs.2024.105886
- Source apportionment of fine secondary inorganic aerosol over the Pearl River Delta region using a hybrid method W. Chen et al. https://doi.org/10.1016/j.apr.2021.101061
- Emitted yesterday, polluting today: temporal source apportionment of fine particulate matter pollution over Central Europe P. Huszár et al. https://doi.org/10.5194/acp-26-4377-2026
- Mechanisms and Pathways for Coordinated Control of Fine Particulate Matter and Ozone N. Ojha et al. https://doi.org/10.1007/s40726-022-00229-4
- Potential heterogeneity in the relationship between urbanization and air pollution, from the perspective of urban agglomeration Y. Wang et al. https://doi.org/10.1016/j.jclepro.2021.126822
- A novel ensemble learning algorithm integrating WRF-CMAQ and downscaling models for hourly estimation of regional air pollution along with vegetation exposure risk detection P. Zhou et al. https://doi.org/10.1080/17538947.2025.2509825
- New insight into the urban PM2.5 pollution island effect enabled by the Gaussian surface fitting model: A case study in a mega urban agglomeration region of China L. Yao et al. https://doi.org/10.1016/j.jag.2022.102982
- Importing or self-dependent: energy transition in Beijing towards carbon neutrality and the air pollution reduction co-benefits J. Liu et al. https://doi.org/10.1007/s10584-022-03413-z
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
We use novel modelling approaches to quantify the lingering effects of 1 d local and regional emission controls on subsequent days, the effects of longer continuous emission controls of individual sectors over different regions, and the effects of combined emission controls of multiple sectors and regions on air quality in Beijing under varying weather conditions to inform precise short-term emission control policies for avoiding heavy haze pollution in Beijing.
We use novel modelling approaches to quantify the lingering effects of 1 d local and regional...
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