24-hour average PM2.5 concentration caused by aircraft in Chinese airports from Jan. 2006 to Dec. 2023.

Qiang Cui, Zike Jia, Yujie Liu, Yu Wang, Ye Li
Author Information
  1. Qiang Cui: School of Economics and Management, Southeast University, Nanjing, China. cuiqiang@seu.edu.cn. ORCID
  2. Zike Jia: School of Economics and Management, Southeast University, Nanjing, China.
  3. Yujie Liu: School of Economics and Management, Southeast University, Nanjing, China.
  4. Yu Wang: School of Economics and Management, Civil Aviation Flight University of China, Guanghan, China. wangyu@cafuc.edu.cn.
  5. Ye Li: School of Business Administration, Nanjing University of Finance and Economics, Nanjing, China. happyxiaoye@yeah.net.

Abstract

Since 2006, the rapid development of China's aviation industry has been accompanied by a significant increase in one of its emissions, namely, PM2.5, which poses a substantial threat to human health. However, little data is describing the PM2.5 concentration caused by aircraft activities. This study addresses this gap by initially computing the monthly PM2.5 emissions of the landing-take-off (LTO) stage from Jan. 2006 to Dec. 2023 for 175 Chinese airports, employing the modified BFFM2-FOA-FPM method. Subsequently, the study uses the Gaussian diffusion model to measure the 24-hour average PM2.5 concentration resulting from flight activities at each airport. This study mainly draws the following conclusions: Between 2006 and 2023, the highest recorded PM2.5 concentration data at all airports was observed in 2018, reaching 5.7985 micrograms per cubic meter, while the lowest point was recorded in 2022, at 2.0574 micrograms per cubic meter. Moreover, airports with higher emissions are predominantly located in densely populated and economically vibrant regions such as Beijing, Shanghai, Guangzhou, Chengdu, and Shenzhen.

References

  1. Can J Cardiol. 2023 Sep;39(9):1182-1190 [PMID: 37030516]
  2. Environ Res. 2021 Mar;194:110693 [PMID: 33387541]
  3. Sci Total Environ. 2021 Mar 1;758:143710 [PMID: 33223179]
  4. Sensors (Basel). 2019 Mar 09;19(5): [PMID: 30857313]
  5. Nat Clim Chang. 2013 Oct 1;3(10):885-889 [PMID: 24926321]
  6. Cardiovasc Res. 2020 Sep 1;116(11):1910-1917 [PMID: 32123898]
  7. Ecotoxicol Environ Saf. 2016 Jun;128:67-74 [PMID: 26896893]
  8. Environ Sci Technol. 2022 Jun 7;56(11):6996-7005 [PMID: 35050611]
  9. J Immunol Res. 2024 Jan 27;2024:6622950 [PMID: 38314088]
  10. Environ Sci Pollut Res Int. 2022 Nov;29(54):81703-81712 [PMID: 35739449]
  11. Sci Total Environ. 2017 Dec 1;599-600:918-925 [PMID: 28501016]
  12. iScience. 2022 Sep 16;25(9):104865 [PMID: 35959473]
  13. Environ Res. 2021 Jun;197:111123 [PMID: 33823194]
  14. Environ Manage. 2021 Jan;67(1):176-191 [PMID: 33201258]
  15. Environ Res. 2021 May;196:110432 [PMID: 33166538]
  16. J Geophys Res Atmos. 2020 Jul 22;125(14): [PMID: 33425635]
  17. Chemosphere. 2020 Sep;254:126735 [PMID: 32325353]
  18. Environ Pollut. 2017 Feb;221:377-384 [PMID: 27931881]
  19. Sci Data. 2024 Mar 9;11(1):284 [PMID: 38461334]
  20. Environ Pollut. 2021 Sep 15;285:117512 [PMID: 34090076]
  21. Sci Total Environ. 2022 Mar 25;814:151957 [PMID: 34838911]
  22. Sensors (Basel). 2016 Feb 26;16(3):291 [PMID: 26927115]
  23. JACC Adv. 2023 Feb 24;2(3):100285 [PMID: 38939589]
  24. Sci Total Environ. 2019 Sep 10;682:541-552 [PMID: 31129542]
  25. Curr Probl Cardiol. 2023 Jun;48(6):101670 [PMID: 36828043]
  26. Sci Bull (Beijing). 2022 Feb 26;67(4):437-444 [PMID: 36546095]
  27. Sci Total Environ. 2024 Jan 10;907:168011 [PMID: 37871816]
  28. Sci Total Environ. 2019 May 20;666:499-507 [PMID: 30802665]
  29. PLoS One. 2022 May 25;17(5):e0268714 [PMID: 35613109]
  30. Environ Pollut. 2020 Dec;267:115418 [PMID: 33254647]
  31. Sci Data. 2022 Jul 6;9(1):383 [PMID: 35794155]
  32. Sci Total Environ. 2022 Jul 10;829:154519 [PMID: 35292317]
  33. Sci Total Environ. 2021 Jun 10;772:144766 [PMID: 33578162]
  34. Sci Total Environ. 2020 Jun 25;723:137896 [PMID: 32208211]

Grants

  1. 72374042/National Natural Science Foundation of China (National Science Foundation of China)

Word Cloud

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