Unraveling the Drivers of Continuous Summer Ozone Pollution Episodes in Bozhou, China: Toward Targeted Control Strategies

Given the deteriorating situation of ambient ozone (O<sub>3</sub>) pollution in some areas of China, understanding the mechanisms driving O<sub>3</sub> formation is essential for formulating effective control measures. This study examines O<sub>3</sub> formation mechanisms and RO<i><sub>x</sub></i> (OH, HO<sub>2,</sub> and RO<sub>2</sub>) radical cycling driven by photochemical processes in Bozhou, located at the junction of Jiangsu-Anhui-Shandong-Henan (JASH), a region heavily affected by O<sub>3</sub> pollution, by applying a zero-dimensional box model (Framework for 0-Dimensional Atmospheric Modeling, F0AM) coupled with the Master Chemical Mechanism (MCM v3.3.1) and Positive Matrix Factorization (PMF 5.0) to characterize O<sub>3</sub> pollution, identify volatile organic compound (VOC) sources, and quantify radical budgets during pollution episodes. The results show that O<sub>3</sub> episodes in Bozhou mainly occurred in June under conditions of high temperature and low wind speed. Oxygenated volatile organic compounds (OVOCs), alkanes, and halocarbons were the dominant VOCs groups. The CH<sub>3</sub>O<sub>2</sub> + NO reaction accounted for 24.3% of O<sub>3</sub> production, while photolysis contributed 68.7% of its removal. Elevated VOCs concentrations in Bozhou were largely maintained by anthropogenic sources such as vehicle exhaust, solvent utilization, and gasoline evaporation, which collectively enhanced O<sub>3</sub> production. The findings indicate that O<sub>3</sub> formation in the region is primarily regulated by NO<i><sub>x</sub></i> availability. Therefore, emission reductions targeting NO<i><sub>x</sub></i>, along with selective control of OVOCs and alkenes, would be the most effective strategies for lowering O<sub>3</sub> levels. Model simulations further highlight Bozhou's strong atmospheric oxidation capacity, with OVOC photolysis identified as the dominant contributor to RO<i><sub>x</sub></i> generation, accounting for 33% of the total. Diurnal patterns were evident: NO<i><sub>x</sub></i>-related reactions dominated radical sinks in the morning, while HO<sub>2</sub> + RO<sub>2</sub> reactions accounted for 28.5% in the afternoon. By clarifying the mechanisms of O<sub>3</sub> formation in Bozhou, this study provides a scientific basis for designing ozone control strategies across the JASH junction region. In addition, ethanol was not directly measured in this study; given its potential to generate acetaldehyde and affect local O<sub>3</sub> formation, its possible contribution introduces additional uncertainty that warrants further investigation.

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Journal
Toxics
Published
2025-12-29
DOI
https://doi.org/10.3390/toxics14010037
Primary Topic
Atmospheric chemistry and aerosols
Type
article
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article

Unraveling the Drivers of Continuous Summer Ozone Pollution Episodes in Bozhou, China: Toward Targeted Control Strategies

Fang Bi, H. Li, Dandan Zhang, Cong An et al.
Toxics
Atmospheric chemistry and aerosols
article

Unraveling the Drivers of Continuous Summer Ozone Pollution Episodes in Bozhou, China: Toward Targeted Control Strategies

Fang Bi, H. Li, Dandan Zhang, Cong An, Zhenhai Wu, Ke Wu, Fanxiu Li, Wanghui Chu, Xuezhong Wang
article en

Abstract

Given the deteriorating situation of ambient ozone (O<sub>3</sub>) pollution in some areas of China, understanding the mechanisms driving O<sub>3</sub> formation is essential for formulating effective control measures. This study examines O<sub>3</sub> formation mechanisms and RO<i><sub>x</sub></i> (OH, HO<sub>2,</sub> and RO<sub>2</sub>) radical cycling driven by photochemical processes in Bozhou, located at the junction of Jiangsu-Anhui-Shandong-Henan (JASH), a region heavily affected by O<sub>3</sub> pollution, by applying a zero-dimensional box model (Framework for 0-Dimensional Atmospheric Modeling, F0AM) coupled with the Master Chemical Mechanism (MCM v3.3.1) and Positive Matrix Factorization (PMF 5.0) to characterize O<sub>3</sub> pollution, identify volatile organic compound (VOC) sources, and quantify radical budgets during pollution episodes. The results show that O<sub>3</sub> episodes in Bozhou mainly occurred in June under conditions of high temperature and low wind speed. Oxygenated volatile organic compounds (OVOCs), alkanes, and halocarbons were the dominant VOCs groups. The CH<sub>3</sub>O<sub>2</sub> + NO reaction accounted for 24.3% of O<sub>3</sub> production, while photolysis contributed 68.7% of its removal. Elevated VOCs concentrations in Bozhou were largely maintained by anthropogenic sources such as vehicle exhaust, solvent utilization, and gasoline evaporation, which collectively enhanced O<sub>3</sub> production. The findings indicate that O<sub>3</sub> formation in the region is primarily regulated by NO<i><sub>x</sub></i> availability. Therefore, emission reductions targeting NO<i><sub>x</sub></i>, along with selective control of OVOCs and alkenes, would be the most effective strategies for lowering O<sub>3</sub> levels. Model simulations further highlight Bozhou's strong atmospheric oxidation capacity, with OVOC photolysis identified as the dominant contributor to RO<i><sub>x</sub></i> generation, accounting for 33% of the total. Diurnal patterns were evident: NO<i><sub>x</sub></i>-related reactions dominated radical sinks in the morning, while HO<sub>2</sub> + RO<sub>2</sub> reactions accounted for 28.5% in the afternoon. By clarifying the mechanisms of O<sub>3</sub> formation in Bozhou, this study provides a scientific basis for designing ozone control strategies across the JASH junction region. In addition, ethanol was not directly measured in this study; given its potential to generate acetaldehyde and affect local O<sub>3</sub> formation, its possible contribution introduces additional uncertainty that warrants further investigation.

ToxicsVol. 14(1)
Beijing Institute of Petrochemical Technology (CN), Tianjin University (CN), Yangtze University (CN), Ministry of Ecology and Environment (CN), Chinese Academy for Environmental Planning (CN), Chinese Research Academy of Environmental Sciences (CN)
Openalex Percentile: Top 31%
Atmospheric chemistry and aerosols
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