Articles | Volume 21, issue 3
https://doi.org/10.5194/acp-21-1581-2021
© 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-21-1581-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Feb 2021
Research article |
| 04 Feb 2021
| 04 Feb 2021
Evident PM2.5 drops in the east of China due to the COVID-19 quarantine measures in February
Zhicong Yin
CORRESPONDING AUTHOR
Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science & Technology, Nanjing, 210044, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519080, China
Nansen-Zhu International Research Centre, Institute of Atmospheric
Physics, Chinese Academy of Sciences, Beijing, 100029, China
Yijia Zhang
Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science & Technology, Nanjing, 210044, China
Huijun Wang
Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science & Technology, Nanjing, 210044, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519080, China
Nansen-Zhu International Research Centre, Institute of Atmospheric
Physics, Chinese Academy of Sciences, Beijing, 100029, China
Yuyan Li
Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science & Technology, Nanjing, 210044, China
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Cited
21 citations as recorded by crossref.
- Aggravation effect of regional transport on wintertime PM2.5 over the middle reaches of the Yangtze River under China's air pollutant emission reduction process Y. Bai et al. 10.1016/j.apr.2021.101111
- Spatio-Temporal Heterogeneity of the Relationships Between PM2.5 and Its Determinants: A Case Study of Chinese Cities in Winter of 2020 L. Yang et al. 10.3389/fpubh.2022.810098
- Predicting gridded winter PM2.5 concentration in the east of China Z. Yin et al. 10.5194/acp-22-11173-2022
- Assessment of background ozone concentrations in China and implications for using region-specific volatile organic compounds emission abatement to mitigate air pollution W. Chen et al. 10.1016/j.envpol.2022.119254
- Observational Subseasonal Variability of the PM2.5 Concentration in the Beijing-Tianjin-Hebei Area during the January 2021 Sudden Stratospheric Warming Q. Lu et al. 10.1007/s00376-022-1393-y
- Possible Relationship between January “Warm Arctic–Cold Eurasia” and February Haze in North China Y. Zhang et al. 10.1175/JCLI-D-21-0465.1
- Interannual relationship between displacement and intensity of East Asian jet stream and haze over eastern China in winter S. Zhang et al. 10.1016/j.scitotenv.2022.154672
- Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al. 10.5194/acp-22-16017-2022
- Recent ozone trends in the Chinese free troposphere: role of the local emission reductions and meteorology G. Dufour et al. 10.5194/acp-21-16001-2021
- The Impact of COVID-19 Lockdown on Ambient Air Quality in Shanghai, 2022 Q. Zhang et al. 10.3390/atmos14050898
- Modelling the effect of local and regional emissions on PM2.5 concentrations in Wuhan, China during the COVID-19 lockdown Y. BAI et al. 10.1016/j.accre.2021.09.013
- A similarity distance-based space-time random forest model for estimating PM2.5 concentrations over China S. Guan et al. 10.1016/j.atmosenv.2023.120043
- Global Trends in Air Pollution Modeling over Cities Under the Influence of Climate Variability: A Review W. Enciso-Díaz et al. 10.3390/environments12060177
- Comparison of the influence of two types of cold surge on haze dispersion in eastern China S. Zhang et al. 10.5194/acp-21-15185-2021
- Assessment of COVID-19 Lockdown Impact on the Air Quality in Eastern Spain: PM and BTX in Urban, Suburban and Rural Sites Exposed to Different Emissions M. Ródenas et al. 10.3390/atmos13010097
- COVID-19-Induced Lockdowns Indicate the Short-Term Control Effect of Air Pollutant Emission in 174 Cities in China D. Lu et al. 10.1021/acs.est.0c07170
- Potential hotspot modeling and monitoring of PM2.5 concentration for sustainable environmental health in Maharashtra, India D. Ruidas & S. Pal 10.1007/s40899-022-00682-5
- Impacts of the COVID-19 lockdown on atmospheric oxidizing capacity and secondary aerosol formation over the Beijing-Tianjin-Hebei region in Winter-Spring 2020 Y. Li et al. 10.1016/j.atmosenv.2022.119540
- Appreciable role of stratospheric polar vortex in the abnormal diffusion of air pollutant in North China in 2015/2016 winter and implications for prediction W. Huang et al. 10.1016/j.atmosenv.2021.118549
- Changes in Air Quality and Drivers for the Heavy PM2.5 Pollution on the North China Plain Pre- to Post-COVID-19 S. Liu et al. 10.3390/ijerph191912904
- Changes in aerosol loading before, during and after the COVID-19 pandemic outbreak in China: Effects of anthropogenic and natural aerosol Y. Liang et al. 10.1016/j.scitotenv.2022.159435
21 citations as recorded by crossref.
- Aggravation effect of regional transport on wintertime PM2.5 over the middle reaches of the Yangtze River under China's air pollutant emission reduction process Y. Bai et al. 10.1016/j.apr.2021.101111
- Spatio-Temporal Heterogeneity of the Relationships Between PM2.5 and Its Determinants: A Case Study of Chinese Cities in Winter of 2020 L. Yang et al. 10.3389/fpubh.2022.810098
- Predicting gridded winter PM2.5 concentration in the east of China Z. Yin et al. 10.5194/acp-22-11173-2022
- Assessment of background ozone concentrations in China and implications for using region-specific volatile organic compounds emission abatement to mitigate air pollution W. Chen et al. 10.1016/j.envpol.2022.119254
- Observational Subseasonal Variability of the PM2.5 Concentration in the Beijing-Tianjin-Hebei Area during the January 2021 Sudden Stratospheric Warming Q. Lu et al. 10.1007/s00376-022-1393-y
- Possible Relationship between January “Warm Arctic–Cold Eurasia” and February Haze in North China Y. Zhang et al. 10.1175/JCLI-D-21-0465.1
- Interannual relationship between displacement and intensity of East Asian jet stream and haze over eastern China in winter S. Zhang et al. 10.1016/j.scitotenv.2022.154672
- Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al. 10.5194/acp-22-16017-2022
- Recent ozone trends in the Chinese free troposphere: role of the local emission reductions and meteorology G. Dufour et al. 10.5194/acp-21-16001-2021
- The Impact of COVID-19 Lockdown on Ambient Air Quality in Shanghai, 2022 Q. Zhang et al. 10.3390/atmos14050898
- Modelling the effect of local and regional emissions on PM2.5 concentrations in Wuhan, China during the COVID-19 lockdown Y. BAI et al. 10.1016/j.accre.2021.09.013
- A similarity distance-based space-time random forest model for estimating PM2.5 concentrations over China S. Guan et al. 10.1016/j.atmosenv.2023.120043
- Global Trends in Air Pollution Modeling over Cities Under the Influence of Climate Variability: A Review W. Enciso-Díaz et al. 10.3390/environments12060177
- Comparison of the influence of two types of cold surge on haze dispersion in eastern China S. Zhang et al. 10.5194/acp-21-15185-2021
- Assessment of COVID-19 Lockdown Impact on the Air Quality in Eastern Spain: PM and BTX in Urban, Suburban and Rural Sites Exposed to Different Emissions M. Ródenas et al. 10.3390/atmos13010097
- COVID-19-Induced Lockdowns Indicate the Short-Term Control Effect of Air Pollutant Emission in 174 Cities in China D. Lu et al. 10.1021/acs.est.0c07170
- Potential hotspot modeling and monitoring of PM2.5 concentration for sustainable environmental health in Maharashtra, India D. Ruidas & S. Pal 10.1007/s40899-022-00682-5
- Impacts of the COVID-19 lockdown on atmospheric oxidizing capacity and secondary aerosol formation over the Beijing-Tianjin-Hebei region in Winter-Spring 2020 Y. Li et al. 10.1016/j.atmosenv.2022.119540
- Appreciable role of stratospheric polar vortex in the abnormal diffusion of air pollutant in North China in 2015/2016 winter and implications for prediction W. Huang et al. 10.1016/j.atmosenv.2021.118549
- Changes in Air Quality and Drivers for the Heavy PM2.5 Pollution on the North China Plain Pre- to Post-COVID-19 S. Liu et al. 10.3390/ijerph191912904
- Changes in aerosol loading before, during and after the COVID-19 pandemic outbreak in China: Effects of anthropogenic and natural aerosol Y. Liang et al. 10.1016/j.scitotenv.2022.159435
Latest update: 13 Jun 2025
Short summary
It is a must to disentangle the contributions of stable meteorology from the effects of the COVID-19 lockdown. A 59 % decline in PM2.5 related to the COVID-19 pandemic was found in North China. The COVID-19 quarantine measures decreased the PM2.5 in the Yangtze River Delta by 72 %. In Hubei Province where most pneumonia cases were confirmed, the impact of the total emission reduction (72 %) evidently exceeded the rising percentage of PM2.5 driven by meteorology (13 %).
It is a must to disentangle the contributions of stable meteorology from the effects of the...
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