Articles | Volume 22, issue 12
https://doi.org/10.5194/acp-22-8403-2022
© 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-22-8403-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Jul 2022
Research article |
| 01 Jul 2022
| 01 Jul 2022
Observation-based analysis of ozone production sensitivity for two persistent ozone episodes in Guangdong, China
Kaixiang Song
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation
for Environmental Quality, Guangzhou, 511443, China
Yu Wang
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation
for Environmental Quality, Guangzhou, 511443, China
Tao Liu
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Liyan Wei
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Yanxing Wu
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Junyu Zheng
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation
for Environmental Quality, Guangzhou, 511443, China
Boguang Wang
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation
for Environmental Quality, Guangzhou, 511443, China
Shaw Chen Liu
CORRESPONDING AUTHOR
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, 511443, China
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation
for Environmental Quality, Guangzhou, 511443, China
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17 citations as recorded by crossref.
- Source apportionment and ozone formation mechanism of VOCs considering photochemical loss in Guangzhou, China Y. Zou et al. 10.1016/j.scitotenv.2023.166191
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- Impacts of Meteorological Conditions on Autumn Surface Ozone During 2014–2020 in the Pearl River Delta, China J. Xu et al. 10.1029/2022EA002742
- High contribution of new particle formation to ultrafine particles in four seasons in an urban atmosphere in south China L. Tao et al. 10.1016/j.scitotenv.2023.164202
- Multiple Impacts of Aerosols on O3 Production Are Largely Compensated: A Case Study Shenzhen, China Z. Tan et al. 10.1021/acs.est.2c06217
- Atmospheric chemistry regimes in intercontinental air traffic corridors: Ozone versus NOx sensitivity R. Derwent et al. 10.1016/j.atmosenv.2024.120521
- Recent Progress in Atmospheric Chemistry Research in China: Establishing a Theoretical Framework for the “Air Pollution Complex” T. Zhu et al. 10.1007/s00376-023-2379-0
- Synthesis of satellite and ground data provide unique perspectives for discovering the air pollution patterns: A case study in Guangdong Province, China J. Li et al. 10.1016/j.envpol.2024.124968
- Anomalous high ozone in the Pearl River Delta, China in 2019: A cause attribution analysis Y. Wu et al. 10.1016/j.atmosenv.2023.120278
- Investigating the causes and reduction approaches of nocturnal ozone increase events over Tai'an in the North China Plain J. Li et al. 10.1016/j.atmosres.2024.107499
- Investigating the role of photochemistry and impact of regional and local contributions on gaseous pollutant concentrations (NO, NO2, O3, CO, and SO2) at urban and suburban sites S. Chatoutsidou & M. Lazaridis 10.1016/j.apr.2024.102322
- Effects of chemical mechanism and meteorological factors on the concentration of atmospheric pollutants in the megacity Beijing, China Y. Li et al. 10.1016/j.atmosenv.2024.120393
- Identification of response regulation governing ozone formation based on influential factors using a random forest approach Y. Huang et al. 10.1016/j.heliyon.2024.e36303
- An observation-based analysis of atmospheric oxidation capacity in Guangdong, China L. Wei et al. 10.1016/j.atmosenv.2023.120260
- PM2.5 pollution modulates the response of ozone formation to VOC emitted from various sources: Insights from machine learning C. Tao et al. 10.1016/j.scitotenv.2024.170009
- Elucidating contributions of volatile organic compounds to ozone formation using random forest during COVID-19 pandemic: A case study in China Y. Lyu et al. 10.1016/j.envpol.2024.123532
- Evolution of Ozone Formation Sensitivity during a Persistent Regional Ozone Episode in Northeastern China and Its Implication for a Control Strategy Y. Zhang et al. 10.1021/acs.est.3c03884
17 citations as recorded by crossref.
- Source apportionment and ozone formation mechanism of VOCs considering photochemical loss in Guangzhou, China Y. Zou et al. 10.1016/j.scitotenv.2023.166191
- Diagnosing ozone–NOx–VOC–aerosol sensitivity and uncovering causes of urban–nonurban discrepancies in Shandong, China, using transformer-based estimations C. Tao et al. 10.5194/acp-24-4177-2024
- Impacts of Meteorological Conditions on Autumn Surface Ozone During 2014–2020 in the Pearl River Delta, China J. Xu et al. 10.1029/2022EA002742
- High contribution of new particle formation to ultrafine particles in four seasons in an urban atmosphere in south China L. Tao et al. 10.1016/j.scitotenv.2023.164202
- Multiple Impacts of Aerosols on O3 Production Are Largely Compensated: A Case Study Shenzhen, China Z. Tan et al. 10.1021/acs.est.2c06217
- Atmospheric chemistry regimes in intercontinental air traffic corridors: Ozone versus NOx sensitivity R. Derwent et al. 10.1016/j.atmosenv.2024.120521
- Recent Progress in Atmospheric Chemistry Research in China: Establishing a Theoretical Framework for the “Air Pollution Complex” T. Zhu et al. 10.1007/s00376-023-2379-0
- Synthesis of satellite and ground data provide unique perspectives for discovering the air pollution patterns: A case study in Guangdong Province, China J. Li et al. 10.1016/j.envpol.2024.124968
- Anomalous high ozone in the Pearl River Delta, China in 2019: A cause attribution analysis Y. Wu et al. 10.1016/j.atmosenv.2023.120278
- Investigating the causes and reduction approaches of nocturnal ozone increase events over Tai'an in the North China Plain J. Li et al. 10.1016/j.atmosres.2024.107499
- Investigating the role of photochemistry and impact of regional and local contributions on gaseous pollutant concentrations (NO, NO2, O3, CO, and SO2) at urban and suburban sites S. Chatoutsidou & M. Lazaridis 10.1016/j.apr.2024.102322
- Effects of chemical mechanism and meteorological factors on the concentration of atmospheric pollutants in the megacity Beijing, China Y. Li et al. 10.1016/j.atmosenv.2024.120393
- Identification of response regulation governing ozone formation based on influential factors using a random forest approach Y. Huang et al. 10.1016/j.heliyon.2024.e36303
- An observation-based analysis of atmospheric oxidation capacity in Guangdong, China L. Wei et al. 10.1016/j.atmosenv.2023.120260
- PM2.5 pollution modulates the response of ozone formation to VOC emitted from various sources: Insights from machine learning C. Tao et al. 10.1016/j.scitotenv.2024.170009
- Elucidating contributions of volatile organic compounds to ozone formation using random forest during COVID-19 pandemic: A case study in China Y. Lyu et al. 10.1016/j.envpol.2024.123532
- Evolution of Ozone Formation Sensitivity during a Persistent Regional Ozone Episode in Northeastern China and Its Implication for a Control Strategy Y. Zhang et al. 10.1021/acs.est.3c03884
Latest update: 23 Nov 2024
Short summary
We developed an observation-based method to investigate the sensitivity of ozone formation to precursors during two elevated ozone episodes observed at 77 stations in Guangdong, China. We found approximately 67 % of the station days exhibit ozone formation sensitivity to NOx, 20 % of the station days are in the transitional regime sensitive to both NOx and volatile organic compounds (VOCs), and only 13 % of the station days are sensitive to VOCs.
We developed an observation-based method to investigate the sensitivity of ozone formation to...
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