Articles | Volume 24, issue 17
https://doi.org/10.5194/acp-24-9805-2024
© 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-24-9805-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report
| 
05 Sep 2024
Measurement report |
| 05 Sep 2024
| 05 Sep 2024
Measurement report: Vertical and temporal variability in the near-surface ozone production rate and sensitivity in an urban area in the Pearl River Delta region, China
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Chunsheng Zhang
Shenzhen National Climate Observatory, Shenzhen, 518040, China
Aiming Liu
Shenzhen National Climate Observatory, Shenzhen, 518040, China
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Yan Wang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Wenjie Wang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
Jie-Ping Zhou
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Yixin Hao
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Xiao-Bing Li
CORRESPONDING AUTHOR
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Xianjun He
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Yubin Chen
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Suxia Yang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Shuchun Yang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Yanfeng Wu
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Bin Jiang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Shan Huang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Junwen Liu
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Yuwen Peng
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Jipeng Qi
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Minhui Deng
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Bowen Zhong
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Yibo Huangfu
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
Min Shao
CORRESPONDING AUTHOR
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
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Cited
11 citations as recorded by crossref.
- Observational evidence of stronger subsidence and more active photochemistry aloft associated with severe ozone pollution over rural areas Z. Wang et al. https://doi.org/10.1016/j.atmosres.2026.109030
- Vertical contrasts in PM2.5 composition and diagnostic evaluation of surface nitrate enhancement in western Korea S. Ok et al. https://doi.org/10.1016/j.atmosenv.2026.122191
- Significant influence of oxygenated volatile organic compounds on atmospheric chemistry: a case study in a typical industrial city in China J. Dai et al. https://doi.org/10.5194/acp-25-7467-2025
- A machine learning and box modeling approach to comparing the atmospheric chemistry of high- and low-ozone and PM₂.₅ episodes A. Mozaffar et al. https://doi.org/10.1016/j.atmosres.2025.108373
- Measurement report: Altitudinal shift of ozone regimes in a mountainous background region Y. Yang et al. https://doi.org/10.5194/acp-26-789-2026
- Research on ozone pollution control strategies for urban agglomerations based on ozone formation sensitivity and emission source contributions J. Tian et al. https://doi.org/10.1016/j.envpol.2024.125182
- Why observed and modelled ozone production rates and sensitives differ, a case study at rural site in China J. Zhou et al. https://doi.org/10.5194/acp-26-1889-2026
- A new perspective on ozone source apportionment: spatial evolution of daytime increment sources along transport pathways in the PRD, China X. Hong et al. https://doi.org/10.1016/j.jes.2026.05.017
- Source-specific ozone formation in the Pearl River Delta: Insights from direct measurement at two sites with distinct environmental characteristics J. Luo et al. https://doi.org/10.1016/j.envpol.2025.126774
- Dominant role of humidity thresholds in driving seasonal ozone production regimes in urban Guiyang, Yunnan-Guizhou Plateau Y. Yang et al. https://doi.org/10.3389/fenvs.2026.1791891
- Assessment of ozone formation, precursor sensitivity, and pollution control under Heatwaves: Based on direct OPR observations W. Zhou et al. https://doi.org/10.1016/j.envres.2026.124718
11 citations as recorded by crossref.
- Observational evidence of stronger subsidence and more active photochemistry aloft associated with severe ozone pollution over rural areas Z. Wang et al. https://doi.org/10.1016/j.atmosres.2026.109030
- Vertical contrasts in PM2.5 composition and diagnostic evaluation of surface nitrate enhancement in western Korea S. Ok et al. https://doi.org/10.1016/j.atmosenv.2026.122191
- Significant influence of oxygenated volatile organic compounds on atmospheric chemistry: a case study in a typical industrial city in China J. Dai et al. https://doi.org/10.5194/acp-25-7467-2025
- A machine learning and box modeling approach to comparing the atmospheric chemistry of high- and low-ozone and PM₂.₅ episodes A. Mozaffar et al. https://doi.org/10.1016/j.atmosres.2025.108373
- Measurement report: Altitudinal shift of ozone regimes in a mountainous background region Y. Yang et al. https://doi.org/10.5194/acp-26-789-2026
- Research on ozone pollution control strategies for urban agglomerations based on ozone formation sensitivity and emission source contributions J. Tian et al. https://doi.org/10.1016/j.envpol.2024.125182
- Why observed and modelled ozone production rates and sensitives differ, a case study at rural site in China J. Zhou et al. https://doi.org/10.5194/acp-26-1889-2026
- A new perspective on ozone source apportionment: spatial evolution of daytime increment sources along transport pathways in the PRD, China X. Hong et al. https://doi.org/10.1016/j.jes.2026.05.017
- Source-specific ozone formation in the Pearl River Delta: Insights from direct measurement at two sites with distinct environmental characteristics J. Luo et al. https://doi.org/10.1016/j.envpol.2025.126774
- Dominant role of humidity thresholds in driving seasonal ozone production regimes in urban Guiyang, Yunnan-Guizhou Plateau Y. Yang et al. https://doi.org/10.3389/fenvs.2026.1791891
- Assessment of ozone formation, precursor sensitivity, and pollution control under Heatwaves: Based on direct OPR observations W. Zhou et al. https://doi.org/10.1016/j.envres.2026.124718
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
In-depth understanding of the near-ground vertical variability in photochemical ozone (O3) formation is crucial for mitigating O3 pollution. Utilizing a self-built vertical observation system, a direct net photochemical O3 production rate detection system, and an observation-based model, we diagnosed the vertical distributions and formation mechanism of net photochemical O3 production rates and sensitivity in the Pearl River Delta region, one of the most O3-polluted areas in China.
In-depth understanding of the near-ground vertical variability in photochemical ozone (O3) ...
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