Articles | Volume 21, issue 24
https://doi.org/10.5194/acp-21-18589-2021
© Author(s) 2021. 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-21-18589-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Dec 2021
Research article |
| 22 Dec 2021
| 22 Dec 2021
The drivers and health risks of unexpected surface ozone enhancements over the Sichuan Basin, China, in 2020
Youwen Sun
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei 230026, China
Hao Yin
CORRESPONDING AUTHOR
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei 230026, China
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
Justus Notholt
Institute of Environmental Physics, University of Bremen, 28334 Bremen, Germany
Mathias Palm
Institute of Environmental Physics, University of Bremen, 28334 Bremen, Germany
Cheng Liu
Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, Hefei 230026, China
Yuan Tian
Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China
Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
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24 citations as recorded by crossref.
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- Elucidating key factors in regulating budgets of ozone and its precursors in atmospheric boundary layer X. Song et al. 10.1038/s41612-024-00818-8
- Effects of Long‐Term Exposure to Ambient Formaldehyde on Hypertension and Angina Pectoris Symptoms: Evidence From the WHO SAGE Cohort Study J. Xu et al. 10.1161/JAHA.124.035341
- Ozone response to precursors changes in the Chengdu-Chongqing economic circle, China, from satellite and ground-based observations J. Ren et al. 10.1016/j.scitotenv.2024.176037
- 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
- Sustained emission reductions have restrained the ozone pollution over China Y. Wang et al. 10.1038/s41561-023-01284-2
- Shifts of Formation Regimes and Increases of Atmospheric Oxidation Led to Ozone Increase in North China Plain and Yangtze River Delta From 2016 to 2019 S. Zhu et al. 10.1029/2022JD038373
- Insights into soil NO emissions and the contribution to surface ozone formation in China L. Huang et al. 10.5194/acp-23-14919-2023
- Long-term trends of ozone and precursors from 2013 to 2020 in a megacity (Chengdu), China: Evidence of changing emissions and chemistry Y. Wang et al. 10.1016/j.atmosres.2022.106309
- Characterization and sources of carbonaceous aerosol in ambient PM1 in Qingdao, a coastal megacity of northern China from 2017 to 2022 J. Du et al. 10.1016/j.atmosenv.2024.120666
- Spaceborne tropospheric nitrogen dioxide (NO2) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers H. Yin et al. 10.5194/acp-22-4167-2022
- Simulating the radiative forcing of oceanic dimethylsulfide (DMS) in Asia based on machine learning estimates J. Zhao et al. 10.5194/acp-22-9583-2022
- Quantifying the drivers of surface ozone anomalies in the urban areas over the Qinghai-Tibet Plateau H. Yin et al. 10.5194/acp-22-14401-2022
- Revisiting the impact of temperature on ground-level ozone: A causal inference approach B. Chen et al. 10.1016/j.scitotenv.2024.176062
- A quantitative assessment and process analysis of the contribution from meteorological conditions in an O3 pollution episode in Guangzhou, China Y. Xu et al. 10.1016/j.atmosenv.2023.119757
- Estimating PM2.5 Concentrations Using the Machine Learning RF-XGBoost Model in Guanzhong Urban Agglomeration, China L. Lin et al. 10.3390/rs14205239
- Variations in summertime ozone in Nanjing between 2015 and 2020: roles of meteorology, radical chain length and ozone production efficiency L. Li et al. 10.1007/s11783-024-1897-z
- Causal-inference machine learning reveals the drivers of China's 2022 ozone rebound L. Wang et al. 10.1016/j.ese.2025.100524
- Long-term trends of ozone in the Yangtze River Delta, China: Spatiotemporal impacts of meteorological factors, local, and non-local emissions F. Hu et al. 10.1016/j.jes.2024.07.017
- Drivers of 2013–2020 ozone trends in the Sichuan Basin, China: Impacts of meteorology and precursor emission changes K. Wu et al. 10.1016/j.envpol.2022.118914
- Heatwave-amplified atmospheric oxidation in a multi-province border area in Xuzhou, China G. Zhang et al. 10.3389/fenvs.2024.1496584
- Reanalysis-based retrieval of near-surface ozone concentrations and its implications for ozone pollution events across China L. Wang et al. 10.1016/j.apr.2025.102643
- Heatwave exacerbates air pollution in China through intertwined climate-energy-environment interactions T. Chen et al. 10.1016/j.scib.2024.05.018
- High Spatial Resolution Ozone Profiles Retrieved from the First Chinese Ultraviolet–Visible Hyperspectral Satellite Instrument F. Zhao et al. 10.1016/j.eng.2023.02.020
24 citations as recorded by crossref.
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- Elucidating key factors in regulating budgets of ozone and its precursors in atmospheric boundary layer X. Song et al. 10.1038/s41612-024-00818-8
- Effects of Long‐Term Exposure to Ambient Formaldehyde on Hypertension and Angina Pectoris Symptoms: Evidence From the WHO SAGE Cohort Study J. Xu et al. 10.1161/JAHA.124.035341
- Ozone response to precursors changes in the Chengdu-Chongqing economic circle, China, from satellite and ground-based observations J. Ren et al. 10.1016/j.scitotenv.2024.176037
- 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
- Sustained emission reductions have restrained the ozone pollution over China Y. Wang et al. 10.1038/s41561-023-01284-2
- Shifts of Formation Regimes and Increases of Atmospheric Oxidation Led to Ozone Increase in North China Plain and Yangtze River Delta From 2016 to 2019 S. Zhu et al. 10.1029/2022JD038373
- Insights into soil NO emissions and the contribution to surface ozone formation in China L. Huang et al. 10.5194/acp-23-14919-2023
- Long-term trends of ozone and precursors from 2013 to 2020 in a megacity (Chengdu), China: Evidence of changing emissions and chemistry Y. Wang et al. 10.1016/j.atmosres.2022.106309
- Characterization and sources of carbonaceous aerosol in ambient PM1 in Qingdao, a coastal megacity of northern China from 2017 to 2022 J. Du et al. 10.1016/j.atmosenv.2024.120666
- Spaceborne tropospheric nitrogen dioxide (NO2) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers H. Yin et al. 10.5194/acp-22-4167-2022
- Simulating the radiative forcing of oceanic dimethylsulfide (DMS) in Asia based on machine learning estimates J. Zhao et al. 10.5194/acp-22-9583-2022
- Quantifying the drivers of surface ozone anomalies in the urban areas over the Qinghai-Tibet Plateau H. Yin et al. 10.5194/acp-22-14401-2022
- Revisiting the impact of temperature on ground-level ozone: A causal inference approach B. Chen et al. 10.1016/j.scitotenv.2024.176062
- A quantitative assessment and process analysis of the contribution from meteorological conditions in an O3 pollution episode in Guangzhou, China Y. Xu et al. 10.1016/j.atmosenv.2023.119757
- Estimating PM2.5 Concentrations Using the Machine Learning RF-XGBoost Model in Guanzhong Urban Agglomeration, China L. Lin et al. 10.3390/rs14205239
- Variations in summertime ozone in Nanjing between 2015 and 2020: roles of meteorology, radical chain length and ozone production efficiency L. Li et al. 10.1007/s11783-024-1897-z
- Causal-inference machine learning reveals the drivers of China's 2022 ozone rebound L. Wang et al. 10.1016/j.ese.2025.100524
- Long-term trends of ozone in the Yangtze River Delta, China: Spatiotemporal impacts of meteorological factors, local, and non-local emissions F. Hu et al. 10.1016/j.jes.2024.07.017
- Drivers of 2013–2020 ozone trends in the Sichuan Basin, China: Impacts of meteorology and precursor emission changes K. Wu et al. 10.1016/j.envpol.2022.118914
- Heatwave-amplified atmospheric oxidation in a multi-province border area in Xuzhou, China G. Zhang et al. 10.3389/fenvs.2024.1496584
- Reanalysis-based retrieval of near-surface ozone concentrations and its implications for ozone pollution events across China L. Wang et al. 10.1016/j.apr.2025.102643
- Heatwave exacerbates air pollution in China through intertwined climate-energy-environment interactions T. Chen et al. 10.1016/j.scib.2024.05.018
- High Spatial Resolution Ozone Profiles Retrieved from the First Chinese Ultraviolet–Visible Hyperspectral Satellite Instrument F. Zhao et al. 10.1016/j.eng.2023.02.020
Latest update: 26 Jul 2025
Short summary
This study uses high-resolution nested-grid GEOS-Chem simulation, the eXtreme Gradient Boosting (XGBoost) machine learning method, and the exposure–response relationship to determine the drivers and evaluate the health risks of the unexpected surface O3 enhancements over the Sichuan Basin in 2020. These unexpected O3 enhancements were induced by meteorological anomalies and caused dramatically high health risks.
This study uses high-resolution nested-grid GEOS-Chem simulation, the eXtreme Gradient Boosting...
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