Articles | Volume 22, issue 5
https://doi.org/10.5194/acp-22-3579-2022
© Author(s) 2022. 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-22-3579-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Mar 2022
Research article |
| 17 Mar 2022
| 17 Mar 2022
Meteorology impact on PM2.5 change over a receptor region in the regional transport of air pollutants: observational study of recent emission reductions in central China
Xiaoyun Sun
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, PREMIC, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Tianliang Zhao
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, PREMIC, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Yongqing Bai
CORRESPONDING AUTHOR
Institute of Heavy Rain, China Meteorological Administration, Wuhan, 430205, China
Shaofei Kong
Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences (Wuhan), Wuhan, 430074, China
Huang Zheng
Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences (Wuhan), Wuhan, 430074, China
Weiyang Hu
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, PREMIC, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Xiaodan Ma
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, PREMIC, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Jie Xiong
Institute of Heavy Rain, China Meteorological Administration, Wuhan, 430205, China
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- Dynamic prediction of PM2.5 concertation in China using experience replay with multi-period memory buffers H. Shi et al. 10.1016/j.atmosres.2025.108063
- Application of stable index and transport index for regional air pollution over Twain-Hu Basin Y. Yue et al. 10.3389/fenvs.2022.1118316
- Industrial Heat Source-Related PM2.5 Concentration Estimates and Analysis Using New Three-Stage Model in the Beijing–Tianjin–Hebei Region Y. Zeng et al. 10.3390/atmos15010131
- Opposing trends in the peak and low ozone concentrations in eastern China: anthropogenic and meteorological influences Z. Wang et al. 10.5194/acp-25-347-2025
- Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
- Modeling Analysis of Nocturnal Nitrate Formation Pathways during Co-Occurrence of Ozone and PM2.5 Pollution in North China Plain W. Dai et al. 10.3390/atmos15101220
- Vertical changes of PM2.5 driven by meteorology in the atmospheric boundary layer during a heavy air pollution event in central China X. Sun et al. 10.1016/j.scitotenv.2022.159830
- Light absorption enhancement of black carbon and its impact factors during winter in a megacity of the Sichuan Basin, China Y. Lan et al. 10.1016/j.scitotenv.2024.170374
- An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models H. Zheng et al. 10.1038/s41612-023-00536-7
- Understanding meteorological factors influencing heavy air pollution in Guwahati, India N. Behera & S. Gokhale 10.1016/j.apr.2024.102337
- Impact of meteorological conditions and reductions in anthropogenic emissions on PM2.5 concentrations in China from 2016 to 2020 Z. Xu et al. 10.1016/j.atmosenv.2023.120265
- Driving Force of Meteorology and Emissions on PM2.5 Concentration in Major Urban Agglomerations in China J. Niu et al. 10.3390/atmos15121499
- Achievements and challenges in improving air quality in China: Analysis of the long-term trends from 2014 to 2022 H. Zheng et al. 10.1016/j.envint.2023.108361
- Driving Forces of Meteorology and Emission Changes on Surface Ozone in the Huaihe River Basin, China X. Liu et al. 10.1007/s11270-023-06345-1
- Quantitative impacts of meteorology and emissions on the long-term trend of O3 in the Yangtze River Delta (YRD), China from 2015 to 2022 L. Wu & J. An 10.1016/j.jes.2024.01.038
- Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China X. Sun et al. 10.3390/rs14143333
- Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data M. Yu et al. 10.3389/fenvs.2023.1223160
- Dynamic evaluation of China's atmospheric environmental pressure from 2008 to 2017: Trends and drivers A. Huang et al. 10.1016/j.jes.2024.02.017
- Characterizing the emission trends and pollution evolution patterns during the transition period following COVID-19 at an industrial megacity of central China Y. Li et al. 10.1016/j.ecoenv.2024.116354
- Analysis of Long‐Term Trends in the Vertical Distribution and Transport Paths of Atmospheric Aerosols in Typical Regions of China Using 15 Years of CALIOP Data B. Chen et al. 10.1029/2022JD038066
- Vertical Changes of Pm2.5 Concentration Driven by Meteorology in the Atmospheric Boundary Layer During a Heavy Air Pollution Event in Central China X. Sun et al. 10.2139/ssrn.4135986
- Nexus between environmental degradation and climate change during the times of global conflict: Evidence from CS-ARDL model S. Singh et al. 10.1016/j.indic.2024.100368
- Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change Z. Jia et al. 10.5194/acp-23-2829-2023
- Identifying the impacts of warming anomalies in the Arctic region and the Tibetan Plateau on PM2.5 pollution and regional transport over China X. Sun et al. 10.1016/j.atmosres.2023.106966
- Seasonal changes in the recent decline of combined high PM2.5 and O3 pollution and associated chemical and meteorological drivers in the Beijing–Tianjin–Hebei region, China Y. Luo et al. 10.1016/j.scitotenv.2022.156312
- Forecast of Fine Particles in Chengdu under Autumn–Winter Synoptic Conditions J. Yang et al. 10.3390/toxics11090777
- Spatial patterns of the diurnal variations of PM2.5 and their influencing factors across China J. Liu et al. 10.1016/j.atmosenv.2023.120215
- A comprehensive investigation of PM2.5 in the Huaihe River Basin, China: Separating the contributions from meteorology and emission reductions X. Liu et al. 10.1016/j.apr.2023.101647
28 citations as recorded by crossref.
- Dynamic prediction of PM2.5 concertation in China using experience replay with multi-period memory buffers H. Shi et al. 10.1016/j.atmosres.2025.108063
- Application of stable index and transport index for regional air pollution over Twain-Hu Basin Y. Yue et al. 10.3389/fenvs.2022.1118316
- Industrial Heat Source-Related PM2.5 Concentration Estimates and Analysis Using New Three-Stage Model in the Beijing–Tianjin–Hebei Region Y. Zeng et al. 10.3390/atmos15010131
- Opposing trends in the peak and low ozone concentrations in eastern China: anthropogenic and meteorological influences Z. Wang et al. 10.5194/acp-25-347-2025
- Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
- Modeling Analysis of Nocturnal Nitrate Formation Pathways during Co-Occurrence of Ozone and PM2.5 Pollution in North China Plain W. Dai et al. 10.3390/atmos15101220
- Vertical changes of PM2.5 driven by meteorology in the atmospheric boundary layer during a heavy air pollution event in central China X. Sun et al. 10.1016/j.scitotenv.2022.159830
- Light absorption enhancement of black carbon and its impact factors during winter in a megacity of the Sichuan Basin, China Y. Lan et al. 10.1016/j.scitotenv.2024.170374
- An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models H. Zheng et al. 10.1038/s41612-023-00536-7
- Understanding meteorological factors influencing heavy air pollution in Guwahati, India N. Behera & S. Gokhale 10.1016/j.apr.2024.102337
- Impact of meteorological conditions and reductions in anthropogenic emissions on PM2.5 concentrations in China from 2016 to 2020 Z. Xu et al. 10.1016/j.atmosenv.2023.120265
- Driving Force of Meteorology and Emissions on PM2.5 Concentration in Major Urban Agglomerations in China J. Niu et al. 10.3390/atmos15121499
- Achievements and challenges in improving air quality in China: Analysis of the long-term trends from 2014 to 2022 H. Zheng et al. 10.1016/j.envint.2023.108361
- Driving Forces of Meteorology and Emission Changes on Surface Ozone in the Huaihe River Basin, China X. Liu et al. 10.1007/s11270-023-06345-1
- Quantitative impacts of meteorology and emissions on the long-term trend of O3 in the Yangtze River Delta (YRD), China from 2015 to 2022 L. Wu & J. An 10.1016/j.jes.2024.01.038
- Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China X. Sun et al. 10.3390/rs14143333
- Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data M. Yu et al. 10.3389/fenvs.2023.1223160
- Dynamic evaluation of China's atmospheric environmental pressure from 2008 to 2017: Trends and drivers A. Huang et al. 10.1016/j.jes.2024.02.017
- Characterizing the emission trends and pollution evolution patterns during the transition period following COVID-19 at an industrial megacity of central China Y. Li et al. 10.1016/j.ecoenv.2024.116354
- Analysis of Long‐Term Trends in the Vertical Distribution and Transport Paths of Atmospheric Aerosols in Typical Regions of China Using 15 Years of CALIOP Data B. Chen et al. 10.1029/2022JD038066
- Vertical Changes of Pm2.5 Concentration Driven by Meteorology in the Atmospheric Boundary Layer During a Heavy Air Pollution Event in Central China X. Sun et al. 10.2139/ssrn.4135986
- Nexus between environmental degradation and climate change during the times of global conflict: Evidence from CS-ARDL model S. Singh et al. 10.1016/j.indic.2024.100368
- Modulation of daily PM2.5 concentrations over China in winter by large-scale circulation and climate change Z. Jia et al. 10.5194/acp-23-2829-2023
- Identifying the impacts of warming anomalies in the Arctic region and the Tibetan Plateau on PM2.5 pollution and regional transport over China X. Sun et al. 10.1016/j.atmosres.2023.106966
- Seasonal changes in the recent decline of combined high PM2.5 and O3 pollution and associated chemical and meteorological drivers in the Beijing–Tianjin–Hebei region, China Y. Luo et al. 10.1016/j.scitotenv.2022.156312
- Forecast of Fine Particles in Chengdu under Autumn–Winter Synoptic Conditions J. Yang et al. 10.3390/toxics11090777
- Spatial patterns of the diurnal variations of PM2.5 and their influencing factors across China J. Liu et al. 10.1016/j.atmosenv.2023.120215
- A comprehensive investigation of PM2.5 in the Huaihe River Basin, China: Separating the contributions from meteorology and emission reductions X. Liu et al. 10.1016/j.apr.2023.101647
Latest update: 17 Apr 2025
Short summary
This study revealed the impact of anthropogenic emissions and meteorological conditions on PM2.5 decline in the regional transport of air pollutants over a receptor region in central China. The meteorological drivers led to upwind accelerating and downward offsetting of the effects of emission reductions over the receptor region in regional PM2.5 transport, and the contribution of gaseous precursor emissions to PM2.5 pollution was enhanced with reduced anthropogenic emissions in recent years.
This study revealed the impact of anthropogenic emissions and meteorological conditions on PM2.5...
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