Meteorological and socioeconomic impacts on ozone in China: Past and future analysis

This study examines seasonal ozone (O<sub>3</sub>) dynamics across China using a random forest model with partial dependence plots. Daily monitoring and ERA5 reanalysis data for 2015-2020, combined with CMIP6 projections to 2100, quantify the marginal effects of meteorology, socioeconomic factors, and O<sub>3</sub> precursors on O<sub>3</sub> changes. Warm-season O<sub>3</sub> peaks mainly north of 30°N, especially in North China, with surface temperature, relative humidity, and 500-850 hPa winds as dominant drivers. Cold-season patterns differ, reflecting widespread stagnation and reduced solar radiation. Scenario analyses under SSP 1-2.6, SSP 2-4.5, SSP 3-7.0, and SSP 5-8.5 reveal regionally heterogeneous trajectories, with some factors consistently elevating O<sub>3</sub> and others mitigating it depending on season and location. These results underscore the need for region-specific controls that integrate evolving climate and socioeconomic pathways and provide an evidence base for adaptive air-quality management and policy.

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Publication Details

Journal
iScience
Published
2025-12-04
DOI
https://doi.org/10.1016/j.isci.2025.114335
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
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Meteorological and socioeconomic impacts on ozone in China: Past and future analysis

Qingheng Lu, Lejiang Yu, Yin-Chen Chen, Shiyuan Zhong et al.
iScience
Atmospheric chemistry and aerosols
article

Meteorological and socioeconomic impacts on ozone in China: Past and future analysis

Qingheng Lu, Lejiang Yu, Yin-Chen Chen, Shiyuan Zhong, Q Zhang, Haoming Chen, Wang Xiao-hong, Zunli Dai
article en

Abstract

This study examines seasonal ozone (O<sub>3</sub>) dynamics across China using a random forest model with partial dependence plots. Daily monitoring and ERA5 reanalysis data for 2015-2020, combined with CMIP6 projections to 2100, quantify the marginal effects of meteorology, socioeconomic factors, and O<sub>3</sub> precursors on O<sub>3</sub> changes. Warm-season O<sub>3</sub> peaks mainly north of 30°N, especially in North China, with surface temperature, relative humidity, and 500-850 hPa winds as dominant drivers. Cold-season patterns differ, reflecting widespread stagnation and reduced solar radiation. Scenario analyses under SSP 1-2.6, SSP 2-4.5, SSP 3-7.0, and SSP 5-8.5 reveal regionally heterogeneous trajectories, with some factors consistently elevating O<sub>3</sub> and others mitigating it depending on season and location. These results underscore the need for region-specific controls that integrate evolving climate and socioeconomic pathways and provide an evidence base for adaptive air-quality management and policy.

iScienceVol. 29(1)
Polar Research Institute of China (CN), Guangdong University of Technology (CN), Qingdao University of Science and Technology (CN), Michigan State University (US)
Openalex Percentile: Top 57%
Atmospheric chemistry and aerosols
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