Articles | Volume 23, issue 11
https://doi.org/10.5194/acp-23-6217-2023
© 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-23-6217-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), 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
Xiao Tang
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), 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
Jiang Zhu
CAS-TWAS Center of Excellence for Climate and Environment Sciences
(ICCES), 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
Zifa Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), 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
Center for Excellence in Regional Atmospheric Environment, Institute
of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), 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
Pingqing Fu
Institute of Surface-Earth System Science, Tianjin University, Tianjin
300072, China
Department of Geography, State Key Laboratory of Environmental and
Biological Analysis, Hong Kong Baptist University, Hong Kong SAR, China
Huangjian Wu
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), 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
Miaomiao Lu
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin 300350,
China
Qian Wu
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), 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
Shuyuan Huang
School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
Wenxuan Sui
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Jie Li
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), 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 (LAPC), 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
Lin Wu
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), 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
Hajime Akimoto
Earth System Division, National Institute for Environmental Studies, Onogawa, Tsukuba
305-8506, Japan
Gregory R. Carmichael
Center for Global and Regional Environmental Research, University of
Iowa, Iowa City, IA 52242, USA
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Cited
11 citations as recorded by crossref.
- Quantitative analysis of winter PM2.5 reduction in South Korea, 2019/20 to 2021/22: Contributions of meteorology and emissions J. Jeong et al. 10.1016/j.scitotenv.2023.168179
- Global health benefits of shipping emission reduction in early 2020 W. Sun et al. 10.1016/j.atmosenv.2024.120648
- Inversing NOx emissions based on an optimization model that combines a source-receptor relationship correction matrix and monitoring data: A case study in Linyi, China M. Li et al. 10.1016/j.atmosenv.2024.120848
- Impact of COVID-19 emission reduction on dust aerosols and marine chlorophyll-a concentration Y. Li et al. 10.1016/j.scitotenv.2024.170493
- Significantly underestimated traffic-related ammonia emissions in Chinese megacities: Evidence from satellite observations during COVID-19 lockdowns P. Chen et al. 10.1016/j.chemosphere.2024.142497
- The Impact of Firework Ban Relaxation on Variations in SO2 Emissions in China During the 2023 Chinese New Year X. He et al. 10.3390/rs16224191
- How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study R. Digby et al. 10.5194/acp-24-2077-2024
- Markers of economic activity in satellite aerosol optical depth data S. Kondragunta et al. 10.1088/1748-9326/ace466
- Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) L. Kong et al. 10.5194/essd-16-4351-2024
- A comprehensive observation on the pollution characteristics of peroxyacetyl nitrate (PAN) in Beijing, China H. Zhang et al. 10.1016/j.scitotenv.2023.166852
- Study on the characteristics of urban background ozone pollution based on long-term observations from mountain sites in China during 2015–2022 W. Zhao et al. 10.1016/j.atmosres.2024.107696
11 citations as recorded by crossref.
- Quantitative analysis of winter PM2.5 reduction in South Korea, 2019/20 to 2021/22: Contributions of meteorology and emissions J. Jeong et al. 10.1016/j.scitotenv.2023.168179
- Global health benefits of shipping emission reduction in early 2020 W. Sun et al. 10.1016/j.atmosenv.2024.120648
- Inversing NOx emissions based on an optimization model that combines a source-receptor relationship correction matrix and monitoring data: A case study in Linyi, China M. Li et al. 10.1016/j.atmosenv.2024.120848
- Impact of COVID-19 emission reduction on dust aerosols and marine chlorophyll-a concentration Y. Li et al. 10.1016/j.scitotenv.2024.170493
- Significantly underestimated traffic-related ammonia emissions in Chinese megacities: Evidence from satellite observations during COVID-19 lockdowns P. Chen et al. 10.1016/j.chemosphere.2024.142497
- The Impact of Firework Ban Relaxation on Variations in SO2 Emissions in China During the 2023 Chinese New Year X. He et al. 10.3390/rs16224191
- How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study R. Digby et al. 10.5194/acp-24-2077-2024
- Markers of economic activity in satellite aerosol optical depth data S. Kondragunta et al. 10.1088/1748-9326/ace466
- Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) L. Kong et al. 10.5194/essd-16-4351-2024
- A comprehensive observation on the pollution characteristics of peroxyacetyl nitrate (PAN) in Beijing, China H. Zhang et al. 10.1016/j.scitotenv.2023.166852
- Study on the characteristics of urban background ozone pollution based on long-term observations from mountain sites in China during 2015–2022 W. Zhao et al. 10.1016/j.atmosres.2024.107696
Latest update: 13 Dec 2024
Short summary
A multi-air-pollutant inversion system has been developed in this study to estimate emission changes in China during COVID-19 lockdown. The results demonstrate that the lockdown is largely a nationwide road traffic control measure with NOx emissions decreasing by ~40 %. Emissions of other species only decreased by ~10 % due to smaller effects of lockdown on other sectors. Assessment results further indicate that the lockdown only had limited effects on the control of PM2.5 and O3 in China.
A multi-air-pollutant inversion system has been developed in this study to estimate emission...
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