Evolution and Key Drivers of Typical Air Pollutants in Binzhou, China: A Case Study of the Yellow River Delta’s Central City (2019–2024)

In recent years, combined pollution of PM<sub>2.5</sub> and O<sub>3</sub> has emerged as a major constraint on improvement of air quality in urban China. This study investigates Binzhou, an industrial-agricultural city within the Beijing-Tianjin-Hebei air pollution transport corridor. Based on air quality monitoring and socioeconomic data from 2019 to 2024, we analyze the temporal variations, driving mechanisms, and economic effects of PM<sub>2.5</sub>-O<sub>3</sub> compound pollution. Results show that the annual mean PM<sub>2.5</sub> concentrations decreased initially and then increased, while O<sub>3</sub> levels exhibited a fluctuating increase. Seasonal patterns were distinct: PM<sub>2.5</sub> pollution was more severe in autumn and winter, and O<sub>3</sub> dominated in spring and summer. The number of compound pollution days decreased from 24 in 2019 to 12 in 2024, with a notable concentration in spring (March-May), accounting for 40-54% of the annual total, highlighting this period as critical for coordinated control. Correlation analysis revealed a weak positive association between PM<sub>2.5</sub> and O<sub>3</sub> in spring, summer, and autumn (strongest in summer) but a weak negative correlation in winter. Economic development demonstrated a phased decoupling from pollution: Binzhou's GDP grew by 38.6% cumulatively during the study period, while compound pollution days declined, with significant decoupling in 2020 and 2022. However, pollution rebounded with economic recovery. Key drivers identified include coal combustion and industrial emissions, while industrial restructuring and regional joint prevention policies have contributed to pollution mitigation. This study provides scientific support for formulating differentiated air quality strategies tailored to seasonal and regional characteristics, thereby supporting both clean air and high-quality development.

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Publication Details

Journal
Toxics
Published
2025-11-21
DOI
https://doi.org/10.3390/toxics13121007
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00

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article

Evolution and Key Drivers of Typical Air Pollutants in Binzhou, China: A Case Study of the Yellow River Delta’s Central City (2019–2024)

Yan Xu, Yueyuan Niu, Yinxiao Zhang, Xiaotong Jiang et al.
Toxics
Atmospheric chemistry and aerosols
article

Evolution and Key Drivers of Typical Air Pollutants in Binzhou, China: A Case Study of the Yellow River Delta’s Central City (2019–2024)

Yan Xu, Yueyuan Niu, Yinxiao Zhang, Xiaotong Jiang, Yapeng Li, Mingwei Zhang, Jingyu Wen
article en

Abstract

In recent years, combined pollution of PM<sub>2.5</sub> and O<sub>3</sub> has emerged as a major constraint on improvement of air quality in urban China. This study investigates Binzhou, an industrial-agricultural city within the Beijing-Tianjin-Hebei air pollution transport corridor. Based on air quality monitoring and socioeconomic data from 2019 to 2024, we analyze the temporal variations, driving mechanisms, and economic effects of PM<sub>2.5</sub>-O<sub>3</sub> compound pollution. Results show that the annual mean PM<sub>2.5</sub> concentrations decreased initially and then increased, while O<sub>3</sub> levels exhibited a fluctuating increase. Seasonal patterns were distinct: PM<sub>2.5</sub> pollution was more severe in autumn and winter, and O<sub>3</sub> dominated in spring and summer. The number of compound pollution days decreased from 24 in 2019 to 12 in 2024, with a notable concentration in spring (March-May), accounting for 40-54% of the annual total, highlighting this period as critical for coordinated control. Correlation analysis revealed a weak positive association between PM<sub>2.5</sub> and O<sub>3</sub> in spring, summer, and autumn (strongest in summer) but a weak negative correlation in winter. Economic development demonstrated a phased decoupling from pollution: Binzhou's GDP grew by 38.6% cumulatively during the study period, while compound pollution days declined, with significant decoupling in 2020 and 2022. However, pollution rebounded with economic recovery. Key drivers identified include coal combustion and industrial emissions, while industrial restructuring and regional joint prevention policies have contributed to pollution mitigation. This study provides scientific support for formulating differentiated air quality strategies tailored to seasonal and regional characteristics, thereby supporting both clean air and high-quality development.

ToxicsVol. 13(12)
Shandong University (CN)
Shandong University, National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 60%
Atmospheric chemistry and aerosols
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