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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- 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.
- Scenario-dependent O3 driver identification and formation responses to VOCs/NO emission reduction pathways from integrated and sectoral sources in the Beijing-Tianjin-Hebei region, China H. Zhang et al.
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24 citations as recorded by crossref.
- Update of Air Quality Health Index (AQHI) and harmonization of health protection and climate mitigation K. Tang et al.
- Analysis of atmospheric pollutant characteristics and regional transport in coastal area along the East China Sea Y. Wu et al.
- Analysis of the effect of troposphere ozone on grain production in North China Plain and Yangtze River Delta W. XUYUAN & K. TATSUMI
- Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models A. Pak et al.
- A new insight of volatile organic compounds measurement in Kunming City, Southwest China: season variation, chemical characteristics, and ozone formation sensitivity J. Shi et al.
- Characteristics and Formation Mechanism of Ozone Pollution in Demonstration Zone of the Yangtze River Delta, China Y. Wu et al.
- Improving photochemical indicators for attributing ozone sensitivities in source apportionment analysis X. Du et al.
- Real-Time Characteristics of PM2.5 Pollutions Under Strict Anthropogenic Emission Control in Xi’an, China Y. Zhang et al.
- Maximizing ozone control by spatial sensitivity-oriented mitigation strategy in the Pearl River Delta Region, China R. Wang et al.
- National and transboundary contributions to surface ozone concentration across European countries R. Garatachea et al.
- Impacts of maritime shipping on air pollution along the US East Coast M. Golbazi & C. Archer
- 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.
- Impacts of some meteorological parameters on the characteristics of air quality over Ethiopia A. Abawari & Y. Elfaged
- Direct evaluation of the ozone production regime in the Keihin Industrial Zone, Japan Y. Sadanaga et al.
- Differences in ozone pollution and associated meteorological factors among the megacities of Beijing, Shanghai and Guangzhou during 2015–2022 W. Yu et al.
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al.
- Amplification of Surface Ozone by the Aerosol Direct Effect under COVID-19 Lockdown in Shanghai, China Z. Sun et al.
- Exploring the impact of vertical exchanges on surface ozone based on interpretable deep learning Y. Chen et al.
- Formaldehyde Continuous Monitoring at a Rural Station North of Rome: Appraisal of Local Sources Contribution and Meteorological Drivers F. Vichi et al.
- Summertime tropospheric ozone source apportionment study in the Madrid region (Spain) D. de la Paz et al.
- 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.
- Scenario-dependent O3 driver identification and formation responses to VOCs/NO emission reduction pathways from integrated and sectoral sources in the Beijing-Tianjin-Hebei region, China H. Zhang et al.
- Inversion of hourly NOx emissions through air quality monitoring data and deep learning response surface modeling Z. Liu et al.
- Impact of primary oxygenated volatile organic compounds on ozone formation in the Yangtze River Delta region X. Li et al.
Saved (final revised paper)
Latest update: 04 May 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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