Assessing risk caused by atmospheric air pollution from motor vehicles to the health of population in urbanized areas

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.274174

Keywords:

atmospheric air, road transport, emission of pollutants, risk to public health

Abstract

The object of this study is a regional center with a developed industry and a significant transport load. The study assesses the impact of car emissions on public health. It is shown that on average in the city, emissions from vehicles are 0.341 mg/m∙s and vary from 0.038 to 1.012 mg/m∙s. The main pollutants are nitrogen dioxide (from 39.3 to 58.5 % of the total emission, the average value is 50.9 %) and carbon monoxide (from 39.5 to 47.7 %, the average value is 38.7 %). There is an excess of the maximum permissible concentrations (MPC) by the content of NO2 (1.5‒4.5 MPC with an average value of 2.7 MPC), formaldehyde (4.3‒4.4 MPC ), hydrocarbons (1.2 MPC), soot (1.3 MPC). The level of carcinogenic danger for adults (R=1.9∙10-4) and children (R=3.8∙10-5‒9.8∙10-5) is rated as average. Soot (61.0 %) and formaldehyde (38.9 %) account for the largest contribution. Behind a non-carcinogenic risk, there is a significant danger of increasing morbidity of the population (HI=9.9‒14.0 with an average value of 11.1). Principal pollutants are formaldehyde (37 %), NO2 (23 %), hydrocarbons (17 %). The most vulnerable are the respiratory system (НІ=8.7) and the immune system (НІ=4.3). A significant health hazard is due to low fuel quality, technical and operational characteristics of cars, adverse natural conditions for the dispersion of impurities. The method of interpolation and extrapolation of the results of full-scale observations was used to assess the effect of gaseous and dust components from vehicles on humans. The current study makes it possible to assess the combined impact of pollutants on the risks of disease and premature death of the population, to identify the danger and zoning the territory by the level of danger. The results obtained can be important for making effective management decisions in the field of environmental protection and public health

Author Biographies

Olga Mislyuk, Cherkasy State Technological University

PhD, Associate Professor

Department of Ecology

Elena Khomenko, Cherkasy State Technological University

PhD, Associate Professor

Department of Ecology

Oksana Yehorova, Cherkasy State Technological University

PhD

Department of Ecology

Liudmyla Zhytska, Cherkasy State Technological University

PhD, Associate Professor

Department of Ecology

References

  1. Prüss-Üstün, Annette, Wolf, J., Corvalán, Carlos F. et al. (‎2016)‎. Preventing disease through healthy environments: a global assessment of the burden of disease from environmental risks. World Health Organization. Available at: https://apps.who.int/iris/handle/10665/204585
  2. Ambient (outdoor) air pollution. World Health Organization (WHO). Available at: https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health
  3. Fuller, R., Landrigan, P. J., Balakrishnan, K., Bathan, G., Bose-O’Reilly, S., Brauer, M. et al. (2022). Pollution and health: a progress update. The Lancet Planetary Health, 6 (6), e535–e547. doi: https://doi.org/10.1016/s2542-5196(22)00090-0
  4. Hassan Bhat, T., Jiawen, G., Farzaneh, H. (2021). Air Pollution Health Risk Assessment (AP-HRA), Principles and Applications. International Journal of Environmental Research and Public Health, 18 (4), 1935. doi: https://doi.org/10.3390/ijerph18041935
  5. Ryngach, N. O., Vlasyk, L. Y., Vlasyk, L. I., Kolodnitska, T. L. (2022). Urbanization and health impacts of air pollution in Ukraine: threats and opportunities. Bukovinian Medical Herald, 26 (2 (102)), 69–76. doi: https://doi.org/10.24061/2413-0737.xxvi.2.102.2022.13
  6. Weichenthal, S., Ryswyk, K. V., Goldstein, A., Bagg, S., Shekkarizfard, M., Hatzopoulou, M. (2016). A land use regression model for ambient ultrafine particles in Montreal, Canada: A comparison of linear regression and a machine learning approach. Environmental Research, 146, 65–72. doi: https://doi.org/10.1016/j.envres.2015.12.016
  7. Kheirbek, I., Haney, J., Douglas, S., Ito, K., Matte, T. (2016). The contribution of motor vehicle emissions to ambient fine particulate matter public health impacts in New York City: a health burden assessment. Environmental Health, 15 (1). doi: https://doi.org/10.1186/s12940-016-0172-6
  8. Schneider, P., Castell, N., Vogt, M., Dauge, F. R., Lahoz, W. A., Bartonova, A. (2017). Mapping urban air quality in near real-time using observations from low-cost sensors and model information. Environment International, 106, 234–247. doi: https://doi.org/10.1016/j.envint.2017.05.005
  9. Ruths, M., von Bismarck-Osten, C., Weber, S. (2014). Measuring and modelling the local-scale spatio-temporal variation of urban particle number size distributions and black carbon. Atmospheric Environment, 96, 37–49. doi: https://doi.org/10.1016/j.atmosenv.2014.07.020
  10. Liu, C., Chen, R., Sera, F., Vicedo-Cabrera, A. M., Guo, Y., Tong, S. et al. (2019). Ambient Particulate Air Pollution and Daily Mortality in 652 Cities. New England Journal of Medicine, 381 (8), 705–715. doi: https://doi.org/10.1056/nejmoa1817364
  11. Traczyk, P., Gruszecka-Kosowska, A. (2020). The Condition of Air Pollution in Kraków, Poland, in 2005–2020, with Health Risk Assessment. International Journal of Environmental Research and Public Health, 17 (17), 6063. doi: https://doi.org/10.3390/ijerph17176063
  12. M 218-02070915-694:2011. Metodyka otsiniuvannia inhredientnoho i parametrychnoho zabrudnennia prydorozhnoho seredovyshcha systemoiu transportnyi potik - doroha. Available at: http://online.budstandart.com/ua/catalog/doc-page?id_doc=27916
  13. Buske, D., Vilhena, M. T., Tirabassi, T., Bodmann, B. (2012). Air Pollution Steady-State Advection-Diffusion Equation: The General Three-Dimensional Solution. Journal of Environmental Protection, 03 (09), 1124–1134. doi: https://doi.org/10.4236/jep.2012.329131
  14. Pérez Guerrero, J. S., Pimentel, L. C. G., Oliveira-Júnior, J. F., Heilbron Filho, P. F. L., Ulke, A. G. (2012). A unified analytical solution of the steady-state atmospheric diffusion equation. Atmospheric Environment, 55, 201–212. doi: https://doi.org/10.1016/j.atmosenv.2012.03.015
  15. Cintolesi, C., Mémin, E. (2020). Stochastic Modelling of Turbulent Flows for Numerical Simulations. Fluids, 5 (3), 108. doi: https://doi.org/10.3390/fluids5030108
  16. Ghosh, S., Rigollet, P. (2020). Gaussian determinantal processes: A new model for directionality in data. Proceedings of the National Academy of Sciences, 117 (24), 13207–13213. doi: https://doi.org/10.1073/pnas.1917151117
  17. Sailaubek, D. A., Rubtsova, O. A., Kukulin, V. I. (2020). Complex-Range Gaussians as a Basis for Treatment of Charged Particle Scattering. Springer Proceedings in Physics, 287–291. doi: https://doi.org/10.1007/978-3-030-32357-8_51
  18. Fernandes, A. P., Rafael, S., Lopes, D., Coelho, S., Borrego, C., Lopes, M. (2021). The air pollution modelling system URBAIR: how to use a Gaussian model to accomplish high spatial and temporal resolutions. Air Quality, Atmosphere & Health, 14 (12), 1969–1988. doi: https://doi.org/10.1007/s11869-021-01069-9
  19. Pro zatverdzhennia metodychnykh rekomendatsiy "Otsinka ryzyku dlia zdorovia naselennia vid zabrudnennia atmosfernoho povitria". Available at: https://zakon.rada.gov.ua/rada/show/v0184282-07#Text
  20. Risk Assessment in the Federal Government (1983). doi: https://doi.org/10.17226/366
  21. Surfer. Explore the depths of your data. Available at: https://www.goldensoftware.com/products/surfer
  22. Mysliuk, O. O., Sheikina, O. Yu. (2008). Otsinka ekolohichnoi bezpeky funktsionuvannia avtotransportu v umovakh promyslovoho mista. Visnyk ZhDTU, 3 (46).
Assessing risk caused by atmospheric air pollution from motor vehicles to the health of population in urbanized areas

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Published

2023-02-27

How to Cite

Mislyuk, O., Khomenko, E., Yehorova, O., & Zhytska, L. (2023). Assessing risk caused by atmospheric air pollution from motor vehicles to the health of population in urbanized areas. Eastern-European Journal of Enterprise Technologies, 1(10 (121), 19–26. https://doi.org/10.15587/1729-4061.2023.274174