Evidence for Coordinated Control of PM2.5 and O3: Long-Term Observational Study in a Typical City of Central Plains Urban Agglomeration

Fine particulate matter (PM<sub>2.5</sub>) and Ozone (O<sub>3</sub>) pollution have emerged as the primary environmental challenges in China in recent years. Following the implementation of the Air Pollution Prevention and Control Action Plan, a substantial decline in PM<sub>2.5</sub> concentrations was observed, while O<sub>3</sub> concentrations exhibited an increasing trend across the country. Here, we investigated the long-term trend of O<sub>3</sub> from 2015 to 2022 in Xinxiang City, a typical city within the Central Plains urban agglomeration. Our findings indicate that the hourly average O<sub>3</sub> increased by 3.41 μg m<sup>-3</sup> yr<sup>-1</sup>, with the trend characterized by two distinct phases (Phase I, 2015-2018; Phase II, 2019-2022). Interestingly, the increasing rate of O<sub>3</sub> concentration in Phase I (7.89 μg m<sup>-3</sup>) was notably higher than that in Phase II (2.89 μg m<sup>-3</sup>). The Random Forest (RF) model was employed to identify the key factors influencing O<sub>3</sub> concentrations during the two phases. The significant dropping of PM<sub>2.5</sub> in Phase I could be responsible for the O<sub>3</sub> increase. In Phase II, the reductions in nitrogen dioxide (NO<sub>2</sub>) and unfavorable meteorological conditions were the major drivers of the continued increase in O<sub>3</sub>. The Observation-Based Model (OBM) was developed to further explore the role of PM<sub>2.5</sub> in O<sub>3</sub> formation. Our results suggest that PM<sub>2.5</sub> can influence O<sub>3</sub> concentrations and the chemical sensitivity regime through heterogeneous reactions and changes in photolysis rates. In addition, the relatively high concentration of PM<sub>2.5</sub> in Xinxiang City in recent years underscores its significant role in O<sub>3</sub> formation. Future efforts should focus on the joint control of PM<sub>2.5</sub> and O<sub>3</sub> to improve air quality in the Central Plains urban agglomeration.

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Publication Details

Journal
Toxics
Published
2025-04-23
DOI
https://doi.org/10.3390/toxics13050330
Citations
1
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
1.30

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Controls
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article

Evidence for Coordinated Control of PM2.5 and O3: Long-Term Observational Study in a Typical City of Central Plains Urban Agglomeration

Zhiguo Cao, Xijun Yu, Xue Li, Yanan Wang et al.
1 citations
Toxics
Atmospheric chemistry and aerosols
1.30
article

Evidence for Coordinated Control of PM2.5 and O3: Long-Term Observational Study in a Typical City of Central Plains Urban Agglomeration

Zhiguo Cao, Xijun Yu, Xue Li, Yanan Wang, Chenhui Jia, Guangxuan Yan, Jing Xue
article en
1 citations

Abstract

Fine particulate matter (PM<sub>2.5</sub>) and Ozone (O<sub>3</sub>) pollution have emerged as the primary environmental challenges in China in recent years. Following the implementation of the Air Pollution Prevention and Control Action Plan, a substantial decline in PM<sub>2.5</sub> concentrations was observed, while O<sub>3</sub> concentrations exhibited an increasing trend across the country. Here, we investigated the long-term trend of O<sub>3</sub> from 2015 to 2022 in Xinxiang City, a typical city within the Central Plains urban agglomeration. Our findings indicate that the hourly average O<sub>3</sub> increased by 3.41 μg m<sup>-3</sup> yr<sup>-1</sup>, with the trend characterized by two distinct phases (Phase I, 2015-2018; Phase II, 2019-2022). Interestingly, the increasing rate of O<sub>3</sub> concentration in Phase I (7.89 μg m<sup>-3</sup>) was notably higher than that in Phase II (2.89 μg m<sup>-3</sup>). The Random Forest (RF) model was employed to identify the key factors influencing O<sub>3</sub> concentrations during the two phases. The significant dropping of PM<sub>2.5</sub> in Phase I could be responsible for the O<sub>3</sub> increase. In Phase II, the reductions in nitrogen dioxide (NO<sub>2</sub>) and unfavorable meteorological conditions were the major drivers of the continued increase in O<sub>3</sub>. The Observation-Based Model (OBM) was developed to further explore the role of PM<sub>2.5</sub> in O<sub>3</sub> formation. Our results suggest that PM<sub>2.5</sub> can influence O<sub>3</sub> concentrations and the chemical sensitivity regime through heterogeneous reactions and changes in photolysis rates. In addition, the relatively high concentration of PM<sub>2.5</sub> in Xinxiang City in recent years underscores its significant role in O<sub>3</sub> formation. Future efforts should focus on the joint control of PM<sub>2.5</sub> and O<sub>3</sub> to improve air quality in the Central Plains urban agglomeration.

ToxicsVol. 13(5)
Hong Kong Polytechnic University (HK), Northwestern Polytechnical University (CN), Henan Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Atmospheric chemistry and aerosols
1.30
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