Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-219-2024
© Author(s) 2024. 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-24-219-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China
Yongliang She
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Jingyi Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Xiaopu Lyu
Department of Geography, Hong Kong Baptist University, Hong Kong SAR 00000, China
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 00000, China
Momei Qin
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Xiaodong Xie
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Kangjia Gong
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Fei Ye
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Jianjiong Mao
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Lin Huang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Jianlin Hu
CORRESPONDING AUTHOR
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
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Cited
7 citations as recorded by crossref.
- Microscopic Characterization of Individual Aerosol Particles in a Typical Industrial City and Its Surrounding Rural Areas in China Y. Su et al. 10.3390/toxics12070525
- Rapid Formation of Acetaldehyde and Its Influence on Ozone Formation in a Petrochemical Industrialized Region C. Cui et al. 10.1016/j.jes.2025.01.027
- Modeling Analysis of Nocturnal Nitrate Formation Pathways during Co-Occurrence of Ozone and PM2.5 Pollution in North China Plain W. Dai et al. 10.3390/atmos15101220
- Co-Occurring Extremes of PM2.5 and Ozone in Warm Seasons of the Yangtze River Delta of China: Insights from Explainable Machine Learning Y. Lyu et al. 10.1021/acsestair.4c00314
- Efficient ozone concentration trend prediction using ANN and K-means clustering J. Park 10.1007/s12145-024-01676-x
- Identification of potential regional sources of ambient criteria air pollutants at a national-controlled air quality observational site in Guiyang Z. Shen et al. 10.1007/s11869-024-01676-2
- Evaluating Ionospheric Total Electron Content (TEC) Variations as Precursors to Seismic Activity: Insights from the 2024 Noto Peninsula and Nichinan Earthquakes of Japan K. Nayak et al. 10.3390/atmos15121492
7 citations as recorded by crossref.
- Microscopic Characterization of Individual Aerosol Particles in a Typical Industrial City and Its Surrounding Rural Areas in China Y. Su et al. 10.3390/toxics12070525
- Rapid Formation of Acetaldehyde and Its Influence on Ozone Formation in a Petrochemical Industrialized Region C. Cui et al. 10.1016/j.jes.2025.01.027
- Modeling Analysis of Nocturnal Nitrate Formation Pathways during Co-Occurrence of Ozone and PM2.5 Pollution in North China Plain W. Dai et al. 10.3390/atmos15101220
- Co-Occurring Extremes of PM2.5 and Ozone in Warm Seasons of the Yangtze River Delta of China: Insights from Explainable Machine Learning Y. Lyu et al. 10.1021/acsestair.4c00314
- Efficient ozone concentration trend prediction using ANN and K-means clustering J. Park 10.1007/s12145-024-01676-x
- Identification of potential regional sources of ambient criteria air pollutants at a national-controlled air quality observational site in Guiyang Z. Shen et al. 10.1007/s11869-024-01676-2
- Evaluating Ionospheric Total Electron Content (TEC) Variations as Precursors to Seismic Activity: Insights from the 2024 Noto Peninsula and Nichinan Earthquakes of Japan K. Nayak et al. 10.3390/atmos15121492
Latest update: 16 Apr 2025
Short summary
In this study, we use multi-site volatile organic compound (VOC) measurements to evaluate the CMAQ-model-predicted VOCs and assess the impacts of VOC bias on O3 simulation. Our results demonstrate that current modeling setups and emission inventories are likely to underpredict VOC concentrations, and this underprediction of VOCs contributes to lower O3 predictions in China.
In this study, we use multi-site volatile organic compound (VOC) measurements to evaluate the...
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