Determination of areas of atmospheric air pollution by sulfur oxide emissions from mining and metallurgical and energy generating enterprises
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- Category: Ecology
- Last Updated on Monday, 24 July 2017 04:55
- Published on Monday, 24 July 2017 04:55
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Authors:
M.М.Biliaiev, Dr. Sc. (Tech.), Prof., Dnipropetrovsk National University of Railway Transport named after academician V.Lazaryan, Dnipro, Ukrainе
T.I.Rusakova, Cand. Sc. (Tech.), Dnipropetrovsk National University Oles Honchar, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V.Ye.Kolesnik, Dr. Sc. (Tech.), Prof., State Higher Educational Institution “National Mining University”, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
А.V.Pavlichenko, Cand. Sc. (Biol.), Assoc. Prof., State Higher Educational Institution “National Mining University”, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract:
Purpose. Development of methods and software for determining levels and zones of atmospheric air pollution by emissions from mining and power generating companies that contain significant volumes of sulfur oxides.
Methodology. The forecast of the level of atmospheric air pollution by sulfur-containing emissions from mining and power generating companies is based on a mathematical model for calculating the concentration of sulfur dioxide, which takes into account the processes of its oxidation, as well as the formation and evaporation of sulfuric acid in the atmosphere. The numerical method is based on the joint solution of the equations of convective-diffusion transport of pollutants that come directly from enterprises or are formed additionally due to chemical reactions in the atmosphere. The technique is implemented using implicit difference schemes.
Findings. The developed methodology and software allow predicting the levels of atmospheric air pollution by large industrial enterprises taking into account chemical transformations of sulfur oxides in the environment. A number of numerical experiments have been carried out to estimate the levels and zones of atmospheric air pollution in the city of Dnipro with sulfur dioxide near industrial enterprises, taking into account various meteorological conditions.
Originality. The regularities of atmospheric air pollution by sulfur-containing emissions from industrial enterprises are established on the basis of a joint solution of transport process equations as for impurities coming from sources of pollution and transformation as a result of chemical reactions in the atmosphere.
Practical value. The developed forecast method and software allow determining the concentration of pollutants in the atmosphere and assessing the level of environmental hazard of large industrial enterprises. The obtained patterns of dispersion of sulfur oxides make it possible to predict pollution levels of environmental objects on the territory of industrial cities and to introduce air protection measures in a timely manner.
References.
1. Shupranova, L.V., Khlopova, V.M. and Kharytonov, M.M., 2014. Air pollution assessment in the Dnepropetrovsk industrial megapolice of Ukraine, In: Douw G. Steyn, Peter J.H. Builtjes, Renske M.A. Timmermans, eds., 2014, Air Pollution Modeling and its Application XXII. NATO Science for Peace and Security Series C: Environmental Security. Dordrecht: Springer, pp. 101–104.
2. Biliaiev, M.M., Rostochilo, N., Kharytonov, M., 2014. Expert Systems for Assessing Disaster Impact on the Environment. In: Teodorescu H.N., Kirschenbaum A., Cojocaru S., Bruderlein C., eds. Improving Disaster Resilience and Mitigation – IT Means and Tools. NATO Science for Peace and Security Series C: Environmental Security. Dordrecht: Springer, pp. 153‒165.
3. Gibson, M.D., Kundu, S. and Satish, M., 2013. Dispersion model evaluation of PM2.5, NOX and SO2 from point and major line sources in Nova Scotia, Canada using AERMOD Gaussian plume air dispersion model, Atmospheric Pollution Research, 4(2), pp. 157‒167.
4. Filipczyk, J., 2015. Some issues of road emission for passenger cars and light duty vehicles sector in the aspects of environmental protection. Transport Problems. 10(2), pp. 117‒123.
5. Kondratenko O.M., Vambol, S.O., Strokov, O.P. and Avramenko, A.M., 2015. Mathematical model of the efficiency of diesel particulate matter filter. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 6, pp. 55‒61.
6. Gallagher, J., Gill, L.W. and McNabola, A., 2013. The passive control of air pollution exposure in Dublin, Ireland: A combined measurement and modelling case study, Science of the Total Environment, 458‒460, pp. 331‒343.
7. Belokon, K.V., Belokon, Y.A., Kozhemyakin, G. B. and Matukhno, E. V., 2016. Environmental assessment of the intermetallic catalysts utilization efficiency for deactivation of the pollutants emitted by electrode production enterprises, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 3, pp. 87‒94.
8. Rumiantsev, V., Yakubin, N., Bielokon, K., Matukhno, E. and Leventsova, C., 2015. Ecological aspects of the neutralization of gas emissions leaving from the resin storehouse of joint – stock company “Zaporozhkoks”. Metallurgical and Mining Industry, 4, pp. 105‒109.
9. Shmandiy, V.M., Kharlamova, E.V. and Rigas, T.E., 2015. The study of manifestations of environmental hazards at the regional level. Gigiena i Sanitariya. 7, рр. 90‒92.
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