Articles | Volume 24, issue 3
https://doi.org/10.5194/acp-24-1607-2024
© 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-24-1607-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
What caused large ozone variabilities in three megacity clusters in eastern China during 2015–2020?
Tingting Hu
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Yu Lin
Institute for Environmental and Climate Research, Jinan University, 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, Jinan University, Guangzhou, 511443, China
Yuepeng Xu
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Shanshan Ouyang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Boguang Wang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, 511443, China
Yuanhang Zhang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Shaw Chen Liu
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, Jinan University, Guangzhou, 511443, China
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- Tropospheric ozone trends and attributions over East and Southeast Asia in 1995–2019: an integrated assessment using statistical methods, machine learning models, and multiple chemical transport models X. Lu et al. https://doi.org/10.5194/acp-25-7991-2025
- Spatial and seasonal variations and trends in carbon monoxide over China during 2013–2022 Y. Xie et al. https://doi.org/10.1016/j.atmosenv.2025.121163
- Integrated Modeling of Composition-Resolved Source Apportionment and Dynamic Projection for Ozone Pollution in Datong X. Yao et al. https://doi.org/10.3390/toxics13080666
- Prioritizing odorous VOCs emitted from air filters using machine learning models M. Hassan et al. https://doi.org/10.1016/j.jhazmat.2025.139637
- Deciphering decadal urban ozone trends from historical records since 1980 H. Wang et al. https://doi.org/10.1093/nsr/nwae369
- Impact of northward tropical cyclones on ozone in Southeastern China S. Ouyang et al. https://doi.org/10.5194/acp-26-8407-2026
- Impact of tropical cyclone intensity evolution under different tracks on ozone in the Pearl River Delta, China S. Ouyang et al. https://doi.org/10.1016/j.atmosres.2026.108972
- Increased VOC reactivity forcing ozone pollution in the Yangtze River Delta region, China: Evidence from an eight-year observation at an urban site and implications for future control strategies X. Zhang et al. https://doi.org/10.1016/j.jhazmat.2025.138127
- Hierarchical deep learning framework for ozone forecasting and source apportionment: A China-wide analysis H. Yao et al. https://doi.org/10.1016/j.atmosres.2026.109104
- Long-term ozone formation sensitivity in China: spatiotemporal evolution and machine learning attribution J. Lin et al. https://doi.org/10.5194/acp-26-7081-2026
- Integrating Unsupervised and Supervised Machine Learning for Meteorology-Based Ozone Estimation in an Industrial Zone: A Case Study Q. Wang et al. https://doi.org/10.3390/su18147229
- Unique impacts of strong and westward-extended western Pacific subtropical high on ozone pollution over eastern China M. Li et al. https://doi.org/10.1016/j.envpol.2024.124515
- Influence of weather patterns on ground-level ozone pollution: a 2023 summer case study in Jilin City with health risk assessment A. Akhtar et al. https://doi.org/10.1007/s10661-026-15520-w
- A Three-Regime Transition of Ozone Control Driven by Northward-Moving Tropical Cyclones: From Local Chemistry to Transport-Supported Replenishment S. He et al. https://doi.org/10.1021/acsestair.6c00133
- 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
- Meteorological influence on surface ozone trends in China: assessing uncertainties caused by multi-dataset and multi-method X. Wang et al. https://doi.org/10.5194/acp-25-13863-2025
- The multi-scale insights into summer ozone sources and their impacts on maize yield over the North China Plain H. Du et al. https://doi.org/10.1016/j.atmosres.2026.108833
Saved (final revised paper)
Latest update: 23 Jul 2026
Short summary
We hypothesize that the cause of the worsening O3 trends in the Beijing–Tianjin–Hebei region, the Yangtze River Delta, and Pearl River Delta from 2015 to 2020 is attributable to the increased occurrence of meteorological conditions of high solar radiation and a positive temperature anomaly under the influence of West Pacific subtropical high, tropical cyclones, and mid–high-latitude wave activities.
We hypothesize that the cause of the worsening O3 trends in the Beijing–Tianjin–Hebei region,...
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