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Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle

Author

Listed:
  • Ning Qi

    (School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China)

  • Xuemei Tan

    (School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China)

  • Tengfei Wu

    (Institute of Agricultural Resources and Environment, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China)

  • Qing Tang

    (Chongqing Fushide Environmental Affairs Co., Ltd., Chongqing 401147, China)

  • Fengshou Ning

    (School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China)

  • Debin Jiang

    (School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China)

  • Tengtun Xu

    (School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China)

  • Hong Wu

    (School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China)

  • Lingxiao Ren

    (Nanjing Institute of Technology, School of Environmental Engineering, Nanjing 211167, China)

  • Wei Deng

    (Center of Yangtze River Ecological Protection and High Quality Development, Chongqing Academy of Environmental Science, Chongqing 401147, China)

Abstract

In order to study the temporal and spatial distribution characteristics of atmospheric pollutants in cities (districts and counties) in the Chengdu–Chongqing Twin-city Economic Circle (CCEC) and to provide a theoretical basis for atmospheric pollution prevention and control, this paper combined Ambient Air Quality Standards (AAQS) and WHO Global Air Quality Guidelines (GAQG) to evaluate atmospheric pollution and used spatial correlation to determine key pollution areas. The results showed that the distribution of atmospheric pollutants in CCEC presents a certain law, which was consistent with the air pollution transmission channels. Except for particulate matter with an aerodynamic diameter equal to or less than 2.5 μm (PM 2.5 ) and ozone (O 3 ), other pollutants reached Grade II of AAQS in 2020, among which particulate matter with an aerodynamic diameter equal to or less than 10 μm (PM 10 ), PM 2.5 , sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ) and carbon monoxide (CO) have improved. Compared with the air quality guidelines given in the GAQG, PM 10 , PM 2.5 , NO 2 and O 3 have certain effects on human health. The spatial aggregation of PM 10 and PM 2.5 decreased year by year, while the spatial aggregation of O 3 increased with the change in time, and the distribution of NO 2 pollution had no obvious aggregation. Comprehensive analysis showed that the pollution problems of particulate matter, NO 2 and O 3 in CCEC need to be further controlled.

Suggested Citation

  • Ning Qi & Xuemei Tan & Tengfei Wu & Qing Tang & Fengshou Ning & Debin Jiang & Tengtun Xu & Hong Wu & Lingxiao Ren & Wei Deng, 2022. "Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle," IJERPH, MDPI, vol. 19(7), pages 1-16, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:4333-:d:786885
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    References listed on IDEAS

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    1. Qian Zhou & Helmut Yabar & Takeshi Mizunoya & Yoshiro Higano, 2017. "Evaluation of Integrated Air Pollution and Climate Change Policies: Case Study in the Thermal Power Sector in Chongqing City, China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    2. Liu, Qianqian & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Kong, Yunlong, 2019. "Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives," Applied Energy, Elsevier, vol. 236(C), pages 163-171.
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    1. Kinga Szopińska & Agnieszka Cienciała & Agnieszka Bieda & Janusz Kwiecień & Łukasz Kulesza & Piotr Parzych, 2022. "Verification of the Perception of the Local Community concerning Air Quality Using ADMS-Roads Modeling," IJERPH, MDPI, vol. 19(17), pages 1-28, September.

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