Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-14799-2022
© 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-22-14799-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Examining the implications of photochemical indicators for O3–NOx–VOC sensitivity and control strategies: a case study in the Yangtze River Delta (YRD), China
Xun Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Lin Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Kangjia Gong
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Huizhong Shen
School of Environmental Sciences and Engineering, Southern University
of Science and Technology, Shenzhen, 518055, China
Jingyi Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Jianlin Hu
CORRESPONDING AUTHOR
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science and Technology, Nanjing, 210044, China
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- National and transboundary contributions to surface ozone concentration across European countries R. Garatachea et al. 10.1038/s43247-024-01716-w
- Impacts of maritime shipping on air pollution along the US East Coast M. Golbazi & C. Archer 10.5194/acp-23-15057-2023
- Understanding the spatial and seasonal variation of the ground-level ozone in Southeast China with an interpretable machine learning and multi-source remote sensing H. Zhong et al. 10.1016/j.scitotenv.2024.170570
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. 10.1016/j.atmosres.2024.107586
- Formaldehyde Continuous Monitoring at a Rural Station North of Rome: Appraisal of Local Sources Contribution and Meteorological Drivers F. Vichi et al. 10.3390/atmos14121833
- Summertime tropospheric ozone source apportionment study in the Madrid region (Spain) D. de la Paz et al. 10.5194/acp-24-4949-2024
- Identify the key emission sources for mitigating ozone pollution: A case study of urban area in the Yangtze River Delta region, China X. Zhang et al. 10.1016/j.scitotenv.2023.164703
Latest update: 13 Dec 2024
Short summary
Photochemical indicators have been widely used to predict O3–NOx–VOC sensitivity with given thresholds. Here we assessed the effectiveness of four indicators with a case study in the Yangtze River Delta, China. The overall performance was good, while some indicators showed inconsistencies with the O3 isopleths. The methodology used to determine the thresholds may produce uncertainties. These results would improve our understanding of the use of photochemical indicators in policy implications.
Photochemical indicators have been widely used to predict O3–NOx–VOC sensitivity with given...
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