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.
Research article
| 
22 Nov 2022
Research article |
| 22 Nov 2022
| 22 Nov 2022
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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- Improving photochemical indicators for attributing ozone sensitivities in source apportionment analysis X. Du et al. https://doi.org/10.1016/j.jes.2023.09.025
- Real-Time Characteristics of PM2.5 Pollutions Under Strict Anthropogenic Emission Control in Xi’an, China Y. Zhang et al. https://doi.org/10.1007/s41810-025-00351-y
- Formulating ozone control strategiesin the Fenwei plain under large-scale circulation: Insights from integrated multi-source 3D observations and model simulations X. Liao et al. https://doi.org/10.1016/j.aeaoa.2026.100469
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- Impacts of maritime shipping on air pollution along the US East Coast M. Golbazi & C. Archer https://doi.org/10.5194/acp-23-15057-2023
- Direct evaluation of the ozone production regime in the Keihin Industrial Zone, Japan Y. Sadanaga et al. https://doi.org/10.1016/j.atmosenv.2026.121990
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. https://doi.org/10.1016/j.atmosres.2024.107586
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Saved (final revised paper)
Latest update: 23 Jun 2026
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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