№70-17
Estimation of pollution zones from emissions of industrial enterprises
T. Rusakova1, О. Zolotko1, О. Dolzhenkova1, Y. Voitenko1
1Oles Honchar Dnipro National University, Dnipro, Ukraine
Coll.res.pap.nat.min.univ. 2022, 70:182-191
https://doi.org/10.33271/crpnmu/70.182
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ABSTRACT
Purpose. Calculation of the concentration fields of harmful impurities in the atmospheric air based on an analytical model, to create a program for conducting computational experiments and analyzing the pollution index of territories in the zone of influence of emissions from industrial enterprises.
The methods. For modeling, a two-dimensional mass transfer equation is used, averaged over the transfer height, which describes the scattering of harmful impurities under the action of wind, atmospheric diffusion and dispersion. Methods for the analytical solution of second-order differential equations are applied. Additionally, the process of interaction of harmful impurities from three sources of pollution is taken into account.
Findings. On the basis of the analytical solution of the admixture mass transfer equation, a numerical calculation program was developed using the Python programming language, which made it possible to calculate the concentration fields of harmful impurities that enter the atmospheric air from three enterprises in Dnipro City: the Dnipro Metallurgical Plant, the Dnepropetrovsk Pipe Plant and the Dnipro Coke and Chemical Plant. An analysis was made of the corresponding streets of the city, which fall into the zone of influence of the emissions of the enterprises under consideration. It is established that the concentration of impurities does not exceed the maximum allowable value. The value of the air pollution index for streets affected by harmful impurities in accordance with the chosen wind direction was obtained. It is shown that the pollution index does not exceed 57%.
The originality. The analytical model for solving the two-dimensional equation of impurity transfer makes it possible to calculate the concentration level taking into account the mutual impact of emissions relative to a different number of pollution sources.
Practical implementation. Necessary tools for the analysis of the main patterns of the processes under study in the operational forecasts of the spread of impurities in the environment.
Keywords: impurity concentration, analytical solution, pollution index, atmospheric air, transfer equation.
References
1. Francis, O. Adeola (2020). Global impact of chemicals and toxic substances on human health and the environment. Handbook of Global Health, 1-30.
https://doi.org/10.1007/978-3-030-05325-3_96-1
2. Wang, J., Zhang, Y., Zhang, Z., Yu, W., Li, A., Gao, X., Lv, D., Zheng, H., Kou X., & Xue, Z. (2022). Toxicology of respiratory system: Profiling chemicals in PM10 for molecular targets and adverse outcomes. Environment International, 159, 1-13.
https://doi.org/10.1016/j.envint.2021.107040
3. Schraufnagel, D.(2020).The health effects of ultrafine particles. Experimental & Molecular Medicine,52,311-317.
4. Zhu, C.,Maharajan, K.,Liu, K.& Zhanga, Y.(2021). Role of atmosphere particulate matter exposure in COVID-19 and other health risks in human: A review Environmental Reserch,198, 111281.
https://doi.org/10.1016/j.envres.2021.111281
5. Geng, M.M.& He, L.Y.(2021). Environmental awareness and environmental governance satisfaction sustainability,Environmental Regulation. 13, 3960.
https://doi.org/10.3390/su13073960
6. Wang,K., Yin,H.& Chen,Y. (2019). The effect of environmental regulation on air quality: A study of new ambient air quality standards in China. Journal of Cleaner Production, 215, 268–279.
https://doi.org/10.1016/j.jclepro.2019.01.061
7. Pei,Y., Zhu,Y., Liu,S.Wang,X. & Cao, J. (2019). Environmental regulation and carbon emission: The mediation effect of technical efficiency. Journal of Cleaner Production, 236, 117599.
https://doi.org/10.1016/j.jclepro.2019.07.074
8. Manisalidis,I., Stavropoulou,E., Stavropoulos,A.& Bezirtzoglou E.(2020).Environmental and health impacts of air pollution: A Review. Frontiers in Public Health, 20, 8-14.
9. Zhang,L., Yang,Y., Li.Y., Qian,Z. M., Xiao,W.,Wang X. & al. (2019). Short-term and long-term effects of PM2.5 on acute nasopharyngitis in 10 communities of Guangdong, China. Science of the Total Environment, 688, 136-42.
https://doi.org/10.1016/j.scitotenv.2019.05.470
10. Dong,X., Zhang,Z.,Liu,D.,Tian. Z.& Chen, G. (2018).Numerical investigation of the effect of grids and turbulence models on critical heat flux in a vertical pipe. Frontiers in Energy Research, 11-16.
https://doi.org/10.3389/fenrg.2018.00058
11. Amosov, P., Baklanov, A., Makarov, D. & Masloboev, V. (2022). Numerical modeling of atmospheric pollution in the approaches of random selection of discrete dusting sites and interval distribution of dust size March. Vestnik MGTU, 25(1), 61-73.
https://doi.org/10.21443/1560-9278-2022-25-1-61-73
12. Biliaiev, M., & Rusakova, T. (2019). Comprehensive assessment of the industrial inputs impact on the pollution level of indoor airspace. Collection of Research Papers of the National Mining University, 57, 158–168.
https://doi.org/10.33271/crpnmu/57.158
13. Sailaubek, D. A., Rubtsova, O. A. & Kukulin V. I. (2018). Charged particle scattering problem with a complex-range Gaussian basis The European. Physical Journal, 54, 126.
14. 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.
https://doi.org/10.1073/pnas.1917151117
15. Berlyand, M. E. (1985). Prognoz i regulirovanie zagryazneniya atmosfery. Gidrometeoizdat.
