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Temporal and Spatial Features of the Correlation between PM 2.5 and O 3 Concentrations in China

Author

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  • Jiajia Chen

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Huanfeng Shen

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
    The Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China)

  • Tongwen Li

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Xiaolin Peng

    (School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China)

  • Hairong Cheng

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Chenyan Ma

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

Abstract

In recent years, particulate matter of 2.5 µm or less (PM 2.5 ) pollution in China has decreased but, at the same time, ozone (O 3 ) pollution has become increasingly serious. Due to the different research areas and research periods, the existing analyses of the correlation between PM 2.5 and O 3 have reached different conclusions. In order to clarify the relationship between PM 2.5 and O 3 , this study selected mainland China as the research area, based on the PM 2.5 and O 3 concentration data of 1458 air quality monitoring stations, and analyzed the correlation between PM 2.5 and O 3 for different time scales and geographic divisions. Moreover, by combining the characteristics of the pollutants, topography, and climatic features of the study area, we attempted to discuss the causes of the spatial and temporal differences of R-PO (the correlation between PM 2.5 and O 3 ). The study found that: (1) R-PO tends to show a positive correlation in summer and a negative correlation in winter, (2) the correlation coefficient of PM 2.5 and O 3 is lower in the morning and higher in the afternoon, and (3) R-PO also shows significant spatial differences, including north–south differences and coastland–inland differences.

Suggested Citation

  • Jiajia Chen & Huanfeng Shen & Tongwen Li & Xiaolin Peng & Hairong Cheng & Chenyan Ma, 2019. "Temporal and Spatial Features of the Correlation between PM 2.5 and O 3 Concentrations in China," IJERPH, MDPI, vol. 16(23), pages 1-17, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4824-:d:292742
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    References listed on IDEAS

    as
    1. Qianqian Yang & Qiangqiang Yuan & Tongwen Li & Huanfeng Shen & Liangpei Zhang, 2017. "The Relationships between PM 2.5 and Meteorological Factors in China: Seasonal and Regional Variations," IJERPH, MDPI, vol. 14(12), pages 1-19, December.
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    Cited by:

    1. Jinxia Gu & Zexin Chen & Nan Zhang & Shitao Peng & Wenjing Cui & Guangyao Huo & Feng Chen, 2022. "Characterization of Atmospheric Fine Particles and Secondary Aerosol Estimated under the Different Photochemical Activities in Summertime Tianjin, China," IJERPH, MDPI, vol. 19(13), pages 1-18, June.

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