Research on air pollution by fine particles in tourist locations in the Ivano-Frankivsk region

Iryna Smyk, Liudmyla Arkhypova
Abstract

The revitalisation of tourism in the Ivano-Frankivsk region highlights the need for systematic monitoring of atmospheric air, particularly in terms of the content of fine aerosol particles, in order to assess the level of environmental safety in popular tourist destinations. The aim of the study was to comprehensively assess atmospheric air pollution by PM2.5 and PM10 particles in locations with varying degrees of anthropogenic load, as well as to identify the factors that determine the spatial variability of their concentrations. During the empirical stage, a series of instrumental field measurements were carried out using portable monitoring equipment. The locations were classified into three groups: recreational areas (low load), tourist and recreational areas (medium load) and transport and trade hubs (high load). Multivariate analysis methods were used for statistical data processing, in particular fourth-order polynomial regression and regression modelling of the relationship between PM10 and PM2.5 levels, taking into account the load typology. It was found that the average concentrations of PM2.5 and PM10 in high-load zones were 14.63 μg/m³ and 34.63 μg/m³, respectively, which does not exceed the maximum permissible values set by national and international standards. The lowest levels were recorded in natural recreational areas, due to the natural filtration capacity of green spaces and the absence of traffic. In areas with medium load, intermediate levels of pollution were found, indicating the influence of both stationary and mobile sources of emissions. Regression analysis showed a nonlinear relationship between PM2.5 and PM10 (R² = 0.87), indicating the dominance of the fine fraction in the total mass of aerosol dust. In addition, it was found that an increase in relative air humidity correlates with a decrease in the concentration of fine particles, which is important for predicting air pollution levels depending on weather conditions

Keywords

environmental monitoring, tourist load, atmospheric aerosols, spatial analysis, PM2.5, PM10, regression modelling

Suggested citation
Smyk, I., & Arkhypova, L. (2025). Research on air pollution by fine particles in tourist locations in the Ivano-Frankivsk region. Scientific Reports of the National University of Life and Environmental Sciences of Ukraine, 21(3),62-75. https://doi.org/10.31548/dopovidi/3.2025.62
References
  1. Adamenko, S.Y., Arkhipova, L.M., Adamenko, Y.O., Moskaliuk, N.M., Hlibovytska, N.I., & Chupa, V.M. (2024a). Regularities of changes in PM10 fractions in the atmospheric air of Ivano-Frankivsk. IOP Conference Series: Earth and Environmental Science, 1415(1), article number 012002. doi: 10.1088/1755-1315/1415/1/012002.
  2. Barik, S., Swain, M., Mohanty, P.K., Padhi, S.R., Kar, P.K., & Mishra, P. (2024). Beach litter pollution along the Odisha coast: Composition, abundance, biodiversity impact and management practices. Regional Studies in Marine Science, 71, article number 103421. doi: 10.1016/j.rsma.2024.103421.
  3. Ben-Haddad, M., Abelouah, M.R., Hajji, S., Abou Oualid, J., Rangel-Buitrago, N., & Ait Alla, A. (2024). Macroalgal blooms on Moroccan coasts: Plastic trapping and tourism challenges. Regional Studies in Marine Science, 70, article number 103390. doi: 10.1016/j.rsma.2024.103390.
  4. Bruce, N., Perez-Padilla, R., & Albalak, R. (2000). Indoor air pollution in developing countries: A major environmental and public health challengeBulletin of the World Health Organization78, 1078-1092.
  5. Deng, T., Li, X., & Ma, M. (2017). Evaluating impact of air pollution on China’s inbound tourism industry: A spatial econometric approach. Asia Pacific Journal of Tourism Research22(7), 771-780. doi: 10.1080/10941665.2017.1331923.
  6. Dias, Á., Viana, J., & Pereira, L. (2024). Barriers and policies affecting the implementation of sustainable tourism: The Portuguese experience. Journal of Policy Research in Tourism, Leisure and Eventsdoi: 10.1080/19407963.2024.2314514.
  7. Dong, D., Xu, X., & Wong, Y.F. (2019). Estimating the impact of air pollution on inbound tourism in China: An analysis based on regression discontinuity design. Sustainability11(6), article number 1682. doi: 10.3390/su11061682.
  8. Eusébio, C., João Carneiro, M., Rodrigues, V., Robaina, M., Madaleno, M., Gama, C., Oliveira, K., & Monteiro, A. (2022). Factors influencing the relevance of air quality in the attractiveness of a tourism destination: Differences between nature-based and urban destinations. Tourism Management Perspectives, 44. doi: 10.1016/j.tmp.2022.101045.
  9. Jaafari, J., Naddafi, K., Yunesian, M., Nabizadeh, R., Hassanvand, M.S., Ghozikali, M.G., Nazmara, S., RezaShamsollahi, H., & Yaghmaeian, K. (2017). Study of PM10, PM2.5 and PM1 levels during dust storms and local air pollution events in urban and rural sites in Tehran. Human and Ecological Risk Assessment: An International Journal24(2), 482-493. doi: 10.1080/10807039.2017.1389608.
  10. Majra, J. (2011). Air quality in rural areas. In Chemistry, emission control, radioactive pollution and indoor air quality. IntechOpen. doi: 10.5772/16890.
  11. Miller, G., & Torres-Delgado, A. (2023). Measuring sustainable tourism: A state of the art review of sustainable tourism indicators. Journal of Sustainable Tourism, 31(7), 1483-1496. doi: 10.1080/09669582.2023.2213859.
  12. Naddafi, K., Hassanvand, M.S., & Faridi, S. (2019). Review of studies on air quality status and its health effects in IranIranian Journal of Health and Environment12(1), 151-172.
  13. Order of the Ministry of Ecology and Natural Resources of Ukraine No. 286 “On the Approval of the Procedure for Determining Background Concentrations of Air Pollutants”. (2001, July). Retrieved from https://zakon.rada.gov.ua/laws/show/z0700-01#Text.
  14. Osman, A.I., Chen, L., Yang, M., Zhang, X., Almeelbi, T., Rooney, D.W., & Yap, P.-S. (2023). Cost, environmental impact, and resilience of renewable energy under a changing climate: A review. Environmental Chemistry Letters, 21, 741-764. doi: 10.1007/s10311-022-01532-8.
  15. Pásková, M., Štekerová, K., Zanker, M., Temitope Lasisi, T., & Zelenka, J. (2024). Water pollution generated by tourism: Review of system dynamics models. Heliyon, 10, article number e23824. doi: 10.1016/j.heliyon.2023.e23824.
  16. Rasoolimanesh, S.M., Ramakrishna, S., Hall, C.M., Esfandiar, K., & Seyfi, S. (2023). A systematic scoping review of sustainable tourism indicators in relation to the sustainable development goals. Journal of Sustainable Tourism, 31(7), 1497-1517. doi: 10.1080/09669582.2020.1775621.
  17. Rodríguez-Alcántara, J.S., Cruz-Pérez, N., Rodríguez-Martín, J., & Santamarta, J.C.S. (2024). Effect of tourist activity on wastewater quality in selected wastewater treatment plants in the Balearic Islands (Spain). Environmental Science and Pollution Research, 34, 15172-15185. doi: 10.1007/s11356-024-32173-9.
  18. Santra, S. (2014). Is human development index (HDI) a reflector of quality of air? A comparative study on developed and developing countries. International Journal of Scientific Research Publications, 4(2), 1-6.
  19. Shulika, B.O., Serzhantova, Y.Y., & Denyshchenko, L.V. (2023). Ecotourism: A balanced approach to visiting natural sites and its impact on natural resources. Economics and Society, 57. doi: 10.32782/2524-0072/2023-57-82.
  20. Stryzhak, O. (2022). Tourism and digital technologies: Analysis of the relationship. Economics of Development, 21(2), 42-50. doi: 10.57111/econ.21(2).2022.42-50.
  21. Tabenska, O., & Prylutskyi, A. (2023). Problems and prospects of ecological tourism development in Ukraine. Economics and Society, 51. doi: 10.32782/2524-0072/2023-51-37.
  22. Wang, L., Fang, B., & Law, R. (2018). Effect of air quality in the place of origin on outbound tourism demand: Disposable income as a moderator. Tourism Management68, 152-161. doi: 10.1016/j.tourman.2018.03.007.
  23. World Health Organization. (2021). WHO global air quality guidelines: Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. Geneva: World Health Organization.