Articles | Volume 23, issue 22
https://doi.org/10.5194/acp-23-14127-2023
© 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-23-14127-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Nov 2023
Research article |
| 14 Nov 2023
| 14 Nov 2023
The atmospheric oxidizing capacity in China – Part 1: Roles of different photochemical processes
Jianing Dai
Environmental Modelling Group, Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Guy P. Brasseur
CORRESPONDING AUTHOR
Environmental Modelling Group, Max Planck Institute for Meteorology, 20146 Hamburg, Germany
National Center for Atmospheric Research, Boulder, Colorado 80307, USA
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
Mihalis Vrekoussis
Institute of Environmental Physics (IUP), University of Bremen, 28359 Bremen, Germany
Center of Marine Environmental Sciences (MARUM), University of Bremen, 28359 Bremen, Germany
Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus
Maria Kanakidou
Institute of Environmental Physics (IUP), University of Bremen, 28359 Bremen, Germany
Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece
Institute of Environmental Physics (IUP), University of Bremen, 28359 Bremen, Germany
Yijuan Zhang
Institute of Environmental Physics (IUP), University of Bremen, 28359 Bremen, Germany
Hongliang Zhang
Department of Environmental Science and Engineering, Fudan University, 200433, Shanghai, China
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
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Cited
10 citations as recorded by crossref.
- Detecting causal relationships between fine particles and ozone based on observations in four typical cities of China L. Qi et al. 10.1088/1748-9326/ad376d
- Insights into the source characterization, risk assessment and ozone formation sensitivity of ambient VOCs at an urban site in the Fenwei Plain, China H. Zhang et al. 10.1016/j.jhazmat.2024.136721
- Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach S. O et al. 10.5194/amt-18-1471-2025
- Research on the influencing factors of PM2.5 in China at different spatial scales based on machine learning algorithm M. Chen et al. 10.1016/j.envint.2025.109536
- Significant Impact of a Daytime Halogen Oxidant on Coastal Air Quality J. Dai et al. 10.1021/acs.est.4c08360
- Exploration of radical chemistry, precursor sensitivity and O3 control strategies in a provincial capital city, northwestern China J. Liu et al. 10.1016/j.atmosenv.2024.120792
- Combining the Emission Preprocessor HERMES with the Chemical Transport Model TM5-MP S. Seemann et al. 10.3390/atmos15040469
- Parameterized atmospheric oxidation capacity during summer at an urban site in Taiyuan and implications for O3 pollution control B. Shao et al. 10.1016/j.apr.2024.102181
- Key role of short-lived halogens on global atmospheric oxidation during historical periods A. Bossolasco et al. 10.1039/D4EA00141A
- The atmospheric oxidizing capacity in China – Part 2: Sensitivity to emissions of primary pollutants J. Dai et al. 10.5194/acp-24-12943-2024
10 citations as recorded by crossref.
- Detecting causal relationships between fine particles and ozone based on observations in four typical cities of China L. Qi et al. 10.1088/1748-9326/ad376d
- Insights into the source characterization, risk assessment and ozone formation sensitivity of ambient VOCs at an urban site in the Fenwei Plain, China H. Zhang et al. 10.1016/j.jhazmat.2024.136721
- Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach S. O et al. 10.5194/amt-18-1471-2025
- Research on the influencing factors of PM2.5 in China at different spatial scales based on machine learning algorithm M. Chen et al. 10.1016/j.envint.2025.109536
- Significant Impact of a Daytime Halogen Oxidant on Coastal Air Quality J. Dai et al. 10.1021/acs.est.4c08360
- Exploration of radical chemistry, precursor sensitivity and O3 control strategies in a provincial capital city, northwestern China J. Liu et al. 10.1016/j.atmosenv.2024.120792
- Combining the Emission Preprocessor HERMES with the Chemical Transport Model TM5-MP S. Seemann et al. 10.3390/atmos15040469
- Parameterized atmospheric oxidation capacity during summer at an urban site in Taiyuan and implications for O3 pollution control B. Shao et al. 10.1016/j.apr.2024.102181
- Key role of short-lived halogens on global atmospheric oxidation during historical periods A. Bossolasco et al. 10.1039/D4EA00141A
- The atmospheric oxidizing capacity in China – Part 2: Sensitivity to emissions of primary pollutants J. Dai et al. 10.5194/acp-24-12943-2024
Latest update: 29 Oct 2025
Short summary
In this study, we used a regional chemical transport model to characterize the different parameters of atmospheric oxidative capacity in recent chemical environments in China. These parameters include the production and destruction rates of ozone and other oxidants, the ozone production efficiency, the OH reactivity, and the length of the reaction chain responsible for the formation of ozone and ROx. They are also affected by the aerosol burden in the atmosphere.
In this study, we used a regional chemical transport model to characterize the different...
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