Articles | Volume 21, issue 13
https://doi.org/10.5194/acp-21-10065-2021
© 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-21-10065-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2021
Research article |
| 06 Jul 2021
| 06 Jul 2021
Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity
Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, MD, USA
Soontae Kim
CORRESPONDING AUTHOR
Department of Environmental and Safety Engineering, Ajou University, Suwon, South Korea
Mark Cohen
Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
Changhan Bae
National Air Emission Inventory and Research Center, Sejong, South Korea
Dasom Lee
School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea
now at: Division of Climate & Environmental Research,
Seoul Institute of Technology, Seoul, South Korea
Rick Saylor
Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
Minah Bae
Department of Environmental and Safety Engineering, Ajou University, Suwon, South Korea
Eunhye Kim
Department of Environmental and Safety Engineering, Ajou University, Suwon, South Korea
Byeong-Uk Kim
Georgia Environmental Protection Division, Atlanta, GA, USA
Jin-Ho Yoon
School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea
Ariel Stein
Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
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Cited
16 citations as recorded by crossref.
- Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric modeling T. Doumbia et al. 10.5194/essd-13-4191-2021
- Temporal and spatial distribution of PM 2.5 in the Xinjiang region based on AOD fusion data and the GTWR model W. Huang et al. 10.1080/00207233.2024.2389674
- Impact of the COVID-19 on the vertical distributions of major pollutants from a tower in the Pearl River Delta L. Li et al. 10.1016/j.atmosenv.2022.119068
- A comparison of the impact of TROPOMI and OMI tropospheric NO<sub>2</sub> on global chemical data assimilation T. Sekiya et al. 10.5194/amt-15-1703-2022
- Quantitative Evaluation on the Drivers of PM2.5 Concentration Change in South Korea during the 1st - 3rd Seasonal PM2.5 Management Periods M. Bae et al. 10.5572/KOSAE.2022.38.4.610
- Changes in Domestic Emissions Impact on Provincial PM2.5 and NO2 Concentrations during the 1st to 4th Seasonal PM Management Periods J. Seo et al. 10.5572/KOSAE.2024.40.2.242
- Assessment of Provincial Air Quality based on Air Quality Index during 2016~2022 J. Park et al. 10.5572/KOSAE.2024.40.2.225
- Adjustment of Foreign Emission Impacts on Provincial PM2.5 Concentrations in South Korea based on Upwind Observations and Estimation of Domestic Emission Uncertainty M. Bae & S. Kim 10.5572/KOSAE.2022.38.4.624
- An observation-based adjustment method of regional contribution estimation from upwind emissions to downwind PM2.5 concentrations M. Bae et al. 10.1016/j.envint.2022.107214
- North Korean CO emissions reconstruction using DMZ ground observations, TROPOMI space-borne data, and the CMAQ air quality model E. Kim et al. 10.1016/j.scitotenv.2024.171059
- Ozone air quality deteriorated by inter-provincial transport downwind of Seoul metropolitan area T. Kim et al. 10.1016/j.atmosenv.2023.120071
- A multifaceted approach to explain short- and long-term PM2.5 concentration changes in Northeast Asia in the month of January during 2016–2021 M. Bae et al. 10.1016/j.scitotenv.2023.163309
- Development of surface observation-based two-step emissions adjustment and its application on CO, NOx, and SO2 emissions in China and South Korea E. Kim et al. 10.1016/j.scitotenv.2023.167818
- Identifying the Drivers of PM2.5 Concentration Changes between December 2019 and December 2020 in South Korea S. Kim et al. 10.5572/KOSAE.2021.37.3.371
- 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
- New Insights into Unexpected Severe PM2.5 Pollution during the SARS and COVID-19 Pandemic Periods in Beijing P. Zuo et al. 10.1021/acs.est.1c05383
13 citations as recorded by crossref.
- Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric modeling T. Doumbia et al. 10.5194/essd-13-4191-2021
- Temporal and spatial distribution of PM 2.5 in the Xinjiang region based on AOD fusion data and the GTWR model W. Huang et al. 10.1080/00207233.2024.2389674
- Impact of the COVID-19 on the vertical distributions of major pollutants from a tower in the Pearl River Delta L. Li et al. 10.1016/j.atmosenv.2022.119068
- A comparison of the impact of TROPOMI and OMI tropospheric NO<sub>2</sub> on global chemical data assimilation T. Sekiya et al. 10.5194/amt-15-1703-2022
- Quantitative Evaluation on the Drivers of PM2.5 Concentration Change in South Korea during the 1st - 3rd Seasonal PM2.5 Management Periods M. Bae et al. 10.5572/KOSAE.2022.38.4.610
- Changes in Domestic Emissions Impact on Provincial PM2.5 and NO2 Concentrations during the 1st to 4th Seasonal PM Management Periods J. Seo et al. 10.5572/KOSAE.2024.40.2.242
- Assessment of Provincial Air Quality based on Air Quality Index during 2016~2022 J. Park et al. 10.5572/KOSAE.2024.40.2.225
- Adjustment of Foreign Emission Impacts on Provincial PM2.5 Concentrations in South Korea based on Upwind Observations and Estimation of Domestic Emission Uncertainty M. Bae & S. Kim 10.5572/KOSAE.2022.38.4.624
- An observation-based adjustment method of regional contribution estimation from upwind emissions to downwind PM2.5 concentrations M. Bae et al. 10.1016/j.envint.2022.107214
- North Korean CO emissions reconstruction using DMZ ground observations, TROPOMI space-borne data, and the CMAQ air quality model E. Kim et al. 10.1016/j.scitotenv.2024.171059
- Ozone air quality deteriorated by inter-provincial transport downwind of Seoul metropolitan area T. Kim et al. 10.1016/j.atmosenv.2023.120071
- A multifaceted approach to explain short- and long-term PM2.5 concentration changes in Northeast Asia in the month of January during 2016–2021 M. Bae et al. 10.1016/j.scitotenv.2023.163309
- Development of surface observation-based two-step emissions adjustment and its application on CO, NOx, and SO2 emissions in China and South Korea E. Kim et al. 10.1016/j.scitotenv.2023.167818
3 citations as recorded by crossref.
- Identifying the Drivers of PM2.5 Concentration Changes between December 2019 and December 2020 in South Korea S. Kim et al. 10.5572/KOSAE.2021.37.3.371
- 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
- New Insights into Unexpected Severe PM2.5 Pollution during the SARS and COVID-19 Pandemic Periods in Beijing P. Zuo et al. 10.1021/acs.est.1c05383
Latest update: 13 Dec 2024
Short summary
Global outbreaks of COVID-19 offer rare opportunities of natural experiments in emission control and corresponding responses of tropospheric chemistry. This study's novel approach investigates (1) isolating the pandemic's impact from natural and anthropogenic variations, (2) emission adjustment to reproduce real-time emissions, and (3) brute-force modeling to investigate Chinese economic activities. Results provide characteristics of the region's chemistry and emissions.
Global outbreaks of COVID-19 offer rare opportunities of natural experiments in emission control...
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