Characteristics of PM<sub>2.5 </sub>and O<sub>3 </sub>Pollution and Related Meteorological Impacts in ‘2+26’ Cities of Beijing-Tianjin-Hebei and Its Surrounding Areas from 2018 to 2021

JING Qi; SHENG Lifang; ZHANG Weihang; AN Xiadong

doi:10.13198/j.issn.1001-6929.2023.02.03

Volume 36 Issue 5

May 2023

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Article Navigation > Research of Environmental Sciences > 2023 > 36(5): 875-886

JING Qi, SHENG Lifang, ZHANG Weihang, AN Xiadong. Characteristics of PM2.5 and O3 Pollution and Related Meteorological Impacts in ‘2+26’ Cities of Beijing-Tianjin-Hebei and Its Surrounding Areas from 2018 to 2021[J]. Research of Environmental Sciences, 2023, 36(5): 875-886. doi: 10.13198/j.issn.1001-6929.2023.02.03

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JING Qi, SHENG Lifang, ZHANG Weihang, AN Xiadong. Characteristics of PM_2.5and O₃Pollution and Related Meteorological Impacts in ‘2+26’ Cities of Beijing-Tianjin-Hebei and Its Surrounding Areas from 2018 to 2021[J]. Research of Environmental Sciences, 2023, 36(5): 875-886. doi: 10.13198/j.issn.1001-6929.2023.02.03

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Characteristics of PM_2.5and O₃Pollution and Related Meteorological Impacts in ‘2+26’ Cities of Beijing-Tianjin-Hebei and Its Surrounding Areas from 2018 to 2021

doi: 10.13198/j.issn.1001-6929.2023.02.03

College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China

Funds: National Natural Science Foundation of China (No.42275191)

Received Date: 2022-11-17
Rev Recd Date: 2023-02-07

Abstract

Abstract

In order to understand the air quality in key polluted areas in China, fine particulate matter (PM_2.5) and ozone (O₃) were studied during the Three-Year Action Plan to Win the Blue Sky Defense from 2018 to 2020 and in 2021. Specifically, the characteristics of PM_2.5 and O₃ compound pollution were analyzed using hourly monitoring data of PM_2.5 and O₃ in the ‘2+26’ cities of Beijing-Tianjin-Hebei and its surrounding areas. In addition, the contributions of emission sources and meteorological factors to the long-term trend of PM_2.5 and O₃ concentrations were quantified based on the KZ filter method. The results showed that in recent years, the annual mean PM_2.5 and the 90^th quantile of maximum daily 8-hour average ozone (O₃-8 h-90^th) concentrations decreased in the ‘2+26’ cities. The annual mean values of PM_2.5 concentration from 2018 to 2021 were 60, 57, 51 and 45 μg/m³, respectively. The higher concentration of annual mean PM_2.5 appeared in southern Hebei, Henan and southern Shandong provinces; O₃-8 h-90^th concentrations were 198, 195, 179 and 171 μg/m³, respectively. In 2018, O₃-8 h-90^th concentration was higher in Baoding, Shijiazhuang, Liaocheng and Jincheng (greater than 210 μg/m³), while Taiyuan O₃-8 h-90^th concentration was higher (192 μg/m³) in 2021. Furthermore, the long-term trend of PM_2.5 and O₃-8 h (maximum daily 8-hour average ozone) concentrations were more significantly influenced by meteorology. The long-term component of PM_2.5 concentration affected by meteorology showed no obvious trend from 2018 to 2020 and a downward trend in 2021, while the long-term component of PM_2.5 concentration affected by emissions showed a decreasing trend from 2018 to 2020 and no significant trend in 2021. The long-term component of O₃-8 h concentration affected by meteorology showed an upward trend from 2018 to 2020 and a downward trend in 2021, while the long-term component of O₃-8 h concentration affected by emissions showed a downward trend in 2018 and had no obvious trend from 2019 to 2021. Moreover, temperature and relative humidity had the greatest effect on both the concentration of PM_2.5 and O₃-8 h among the 11 meteorological factors. When the temperature and relative humidity increased together, it was more conducive to the simultaneous increase of PM_2.5 and O₃-8 h. The research shows that PM_2.5 and O₃ pollution in the ‘2+26’ cities are significantly affected by meteorology, and the changes in temperature and relative humidity are important in determining the simultaneous increase of PM_2.5 and O₃-8 h concentrations.
- Beijing-Tianjin-Hebei and its surrounding areas,
- compound pollution,
- long-term trend,
- emission sources,
- meteorological factor

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References(40)

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