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Atmospheric Air Dust Concentration, Composition And Size Distribution Data At Breathing Heights In Yekaterinburg.

https://doi.org/10.24057/2071-9388-2023-2760

Abstract

Accurate information on air quality serves as the foundation for making regulatory and legal decisions aimed at reducing air pollution. This study investigates the vertical distribution of dust particle concentration, their elemental composition, and size distribution in the atmospheric surface layer in Yekaterinburg. Over eight days in April 2021, 64 dust samples were collected on filters at heights ranging from 0.5 m to 10 m at a single site using a mobile post. The mass concentration of the dust, characterized by heterogeneous data with a coefficient of variation exceeding 30%, exhibited a weak tendency to decrease with height. The proportion of particles smaller than 1 µm decreased with increasing altitude, except for 10 m, where their proportion increased. Conversely, the concentration of p articles ranging from one to two microns decreased closer to the surface. Dust grains of other sizes were nearly evenly distributed at various heights. Dust particles smaller than PM2.5 accounted for approximately 45% of the total particles. X-ray fluorescence analysis identified 12 elements in dust particles, with S, Ca, and Fe showing the most substantial content. The proportion of most metals and Ca in solid particles decreased with height, while the content of S and As increased. The Cu, Zn, and Sb content in dust particles remained constant at all measured heights.

About the Authors

I. E. Subbotina
Ural Branch of the Russian Academy of Sciences
Russian Federation

Institute of Industrial Ecology

Yekaterinburg



A. G. Buevich
Ural Branch of the Russian Academy of Sciences
Russian Federation

Institute of Industrial Ecology

Yekaterinburg



A. P. Sergeev
Ural Branch of the Russian Academy of Sciences
Russian Federation

Institute of Industrial Ecology

Yekaterinburg



E. M. Baglaeva
Ural Branch of the Russian Academy of Sciences
Russian Federation

Institute of Industrial Ecology

Yekaterinburg



A. V. Shichkin
Ural Branch of the Russian Academy of Sciences
Russian Federation

Institute of Industrial Ecology

Yekaterinburg



A. S. Butorova
Ural Branch of the Russian Academy of Sciences
Russian Federation

Institute of Industrial Ecology

Yekaterinburg



References

1. Baglaeva Е.M., Sergeev A.P., Buevich,A.G., et. al. (2019). Particulate matter size distribution in air surface layer of Middle Ural and Arctic territories. Atmospheric Pollution Research, 4, 1220-1226.

2. Baglaeva E.M., Buevich A.G., Subbotina I.E., and Sergeev A.P. (2017). Mobile station for dust sampling of the surface layer of atmospheric air with height stratification. Ecological Systems and Devices (ESIP), 7, 23-32. [in Russian]

3. Beddows D.C.S., Harrison R.M., Gonet T. Measurement of road traffic brake and tyre dust emissions using both particle composition and size distribution data. Environmental Pollution, (2023), 331(1), 121830. https://doi.org/10.1016/j.envpol.2023.121830

4. Cachon B.F., Firmin S., Verdin A., et.al. (2014). Proinflammatory effects and oxidative stress within human bronchial epithelial cells exposed to atmospheric particulate matter (PM2.5 and PM>2.5) collected from Cotonou, Benin. Environmental Pollution, 185, 340-351, https://doi.org/10.1016/j.envpol.2013.10.026.

5. Cohen A. J., Brauer M., Burnett R., et al. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. Lancet, (2017), 389, 1907–1918. https://doi.org/10.1016/S0140-6736(17)30505-6.

6. Isidorov, V.A. (2001). Ecological chemistry. St. Petersburg: Himizdat. [in Russian]

7. Dubey R., Patra A.K., Joshi J., et.al. (2022a). Evaluation of vertical and horizontal distribution of particulate matter near an urban roadway using an unmanned aerial vehicle. Science of The Total Environment, 836, 155600, https://doi.org/10.1016/j.scitotenv.2022.155600.

8. Dubey R., Patra A.K., Joshi J., et.al. (2022b). Evaluation of low-cost particulate matter sensors OPC N2 and PM Nova for aerosol monitoring. Atmospheric Pollution Research, 13(3), 101335, https://doi.org/10.1016/j.apr.2022.101335.

9. Federal Service for Hydrometeorology and Environmental Monitoring. (2020). Overview of the state and pollution of the environment in the Russian Federation for 2019. Moscow. http://downloads.igce.ru/publications/reviews/review2019.pdf. [in Russian].

10. Goskomgidromet SSSR. (1991). RD 52. 04. 186-89. Guidance document. Air Pollution Control Guide. Input: 1991-07-01. Moscow, 693 p, https://fcgie.ru/download/osnovnye_dokumenty_po_vedeniyu_sgm/186_89.pdf.

11. Hornberg C., Maciuleviciute L., Seemayer N.H., et.al. (1998) Induction of sister chromatid exchanges (SCE) in human tracheal epithelial cells by the fractions PM-10 and PM-2.5 of airborne particulates. Toxicology Letters, 96-97, 215-220, https://doi.org/10.1016/S0378-4274(98)00075-7.

12. Klyuev N.N. (2019). Atmospheric air quality in Russian cities in 1991-2016. Regional Research of Russia, 9, 204–212.

13. Kondratiev K.Y., Moskalenko N.I., and Pozdnyakov D.V. (1983). Atmospheric aerosol. Leningrad: Gidrometeoizdat. [in Russian].

14. Laiman V., Hsiao Ta-Ch., Wang Yu-H., at.al. (2022). Contributions of acidic ions in secondary aerosol to PM2.5 bioreactivity in an urban area. Atmospheric Environment, 275, 119001, https://doi.org/10.1016/j.atmosenv.2022.119001.

15. Lim S.S., Vos T., Flaxman A.D., et al. (2012). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the global burden of disease study 2010. Lancet, 380 (9859), 2224-2260, https://doi.org/10.1016/S0140-6736(12)61766-8.

16. Ministry of Natural Resources and Ecology of the Russian Federation. (2020). Order N 524 from July 30, «On approval of the requirements for monitoring the state of the environment, its pollution» (Entering into force on January 1, 2021 and valid until January 1, 2027.). [in Russian].

17. SanPiN 1.2.3685-21 «Hygienic standards and requirements for ensuring the safety and (or) harmlessness of environmental factors to humans». [in Russian]. URL: https://docs.cntd.ru/document/573500115#6560IO

18. Tryner J., Mehaffy J., Miller-Lionberg D., et.al. (2020). Effects of aerosol type and simulated aging on performance of low-cost PM sensors. Journal of Aerosol Science, 150, 105654, https://doi.org/10.1016/j.jaerosci.2020.105654.

19. WHO. Ambient (Outdoor) Air Pollution. World Health Organisation (2022) https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health

20. Wu H., Zhang B., Wei J., et.al. (2022). Short-term effects of exposure to ambient PM1, PM2.5, and PM10 on ischemic and hemorrhagic stroke incidence in Shandong Province, China. Environmental Research, 212, part C, 113350, https://doi.org/10.1016/j.envres.2022.113350.

21. Yang M., Jalava P., Hakkarainen H., et.al. (2022). Fine and ultrafine airborne PM influence inflammation response of young adults and toxicological responses in vitro. Science of The Total Environment, 836, 155618, https://doi.org/10.1016/j.scitotenv.2022.155618.

22. Zaikov G.E., Maslov S.A., and Rubailo V.P. (1991). Acid rains and the environment. Moscow: Chemistry. [in Russian]


Review

For citations:


Subbotina I.E., Buevich A.G., Sergeev A.P., Baglaeva E.M., Shichkin A.V., Butorova A.S. Atmospheric Air Dust Concentration, Composition And Size Distribution Data At Breathing Heights In Yekaterinburg. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2023;16(4):193-199. https://doi.org/10.24057/2071-9388-2023-2760

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ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)