Assurance of guaranteed atmosphere air quality for a point emission source
S. Polishchuk1, V. Falko2, A. Polishchuk3, A. Demydenko4
1Prydniprovsk State Academy of Civil Engineering and Architecture, Dnipro, Ukraine
2Sumy State University, Sumy, Ukraine
3Ukrainian State University of Chemical Technology, Dnipro, Ukraine
4Dnipro City Council, Dnipro, Ukraine
Min. miner. depos. 2019, 13(2):103-110
https://doi.org/10.33271/mining13.02.103
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ABSTRACT
Purpose. To solve the task of assessing the components of the guaranteed atmosphere air quality PMPj, PMP depen-ding the maximum pollutant concentrations for a point source of emissions at the stage of designing in various industries (mining, metallurgical, chemical, electric power and others).
Methods. The distribution of pollutant concentrations is represented as a vector random field, which at a given point of the area is turned into a vector random variable of concentrations and is characterized by a multi-dimensional density of distribution. To determine the density, the mathematical Berland’s model of the concentrations distribution is applicable in Ukraine, in which the concentration arguments (design parameters of the source and environmental characteristics) are considered as random variables. Having assumed that the distribution density follows the normal law, using the method of function linearization of the random arguments based on the limit theorems of probability theory, its numerical characteristics have been obtained: mathematical expectations of concentrations, its mean square deviations, and correlation coefficients between concentrations.
Findings. A new concept has been introduced of guaranteed air quality for populated areas. Based on predictive assessment, the studies have been carried out to ensure it at the stage of designing the facilities that have a point source of pollutant emissions. In accordance with the methodology, a mathematical model of the task of assessing and ensuring the guaranteed quality of atmosphere air has been obtained. According to the determination of the guaranteed atmosphere air quality, its measure is presented as a multi-dimensional probability integral of non-exceedance by the concentrations of at least one pollutant of its maximum one-time permissible concentrations with obtaining the numerical characteristics.
Originality.As a result of studies, a mathematical model has been developed for the first time of the task of assessing and ensuring the guaranteed quality of atmosphere air, characterized by the probability values PMP, PMPj, when it is polluted by emissions from a point source. The control of the probability value PMP is performed by selec-ting the design source parameters so that its value is close to 1.
Practical implications. The implementation of the developed model in construction projects with high probability, close to 1, ensures that at least one pollutant by its concentration will not exceed its normative maximum one-time permissible concentration, that is not implemented now. According to the maximum permissible concentration MPCMPj, determination, it is guaranteed the absence of the pollution effect on a person and the occurrence of corresponding diseases.
Keywords: pollution, concentration, atmosphere air, guaranteed quality
REFERENCES
Athanasiadis, N., Karatzas, K., & Mitkas, P. (2006). Classification techniques for air quality forecasting Ioannis. European Conference on Artificial Intelligence. Italy: Riva del Garda.
Berliand, M.E. (1985) Prediction and regulation of air pollution. Moscow, Russian Federation: Hydrometeoizdat.
Bilyk, Y., Polishchuk, S., Poltoratska, V., & Falko, V. (2018). The concept of guaranteed air quality and its assessment. Energy, Ecology, Life Safety and Computer Technologies in Construction.
Dhar, R., Pal, D., & Sinha, D. (1991). On a numerical model of dispersion of chemically reactive pollutants from a point source. International Journal of Environmental Studies, 39(3), 189-201.
https://doi.org/10.1080/00207239108710694
Evaluación de la calidad del aire en España. (2017). Madrid, España: Ministerio para la transición ecologica.
Falko, V.V., Polishchuk, S.Z., & Tokovenko, A.V. (2014). Ecological risk for a person from air pollution. Dnipropetrovsk: Economy.
Feldstein, M. (1969). Editorial: air pollution. Clinical Toxicology, 2(3), 303-305.
https://doi.org/10.3109/15563656908990937
Fiore, A., Naik, V., & Leibensperger, E. (2015). Air quality and climate connections. Journal of the Air & Waste Management Association, 65(6), 645-685.
https://doi.org/10.1080/10962247.2015.1040526
Gorova, A., Pavlychenko, A., Kulyna, S., & Shkremetko, O. (2012). Ecological problems of post‐industrial mining areas. Geomechanical Processes During Underground Mining – Proceedings of the School of Underground Mining, 35‐40.
https://doi.org/10.1201/b13157‐7
Gorova, A., Pavlychenko, A., Borysovs’ka, O., & Krups’ka, L. (2013). The development of methodology for assessment of environmental risk degree in mining regions. Annual Scientific-Technical Collection – Mining of Mineral Deposits 2013, 207-209.
https://doi.org/10.1201/b16354‐38
Heller, A.N., Schueneman, J.J., & Williams, J.D. (1966). The air resource management concept. Journal of the Air Pollution Control Association, 16(6), 307-309.
https://doi.org/10.1080/00022470.1966.10468476
Hopke, P.K. (2008). The use of source apportionment for air quality management and health assessments. Journal of Toxicology and Environmental Health, Part A, 71(9-10), 555-563.
https://doi.org/10.1080/15287390801997500
Hulevets, D., Kokhan, O., & Sharavara, V. (2016). Assessment of the quality of atmospheric air and its method of visualization for solving ecological safety problems. First Independent Scientific Journal, 88-94.
Knox, J.B., & Lange, R. (1974). Surface air pollutant concentration frequency distributions: implications for urban modeling. Journal of the Air Pollution Control Association, 24(1), 48-53.
https://doi.org/10.1080/00022470.1974.10469893
Larsen, R.I. (1970). Relating air pollutant effects to concentration and control. Journal of the Air Pollution Control Association, 20(4), 214-225.
https://doi.org/10.1080/00022470.1970.10469394
Lee, D., Ferguson, C., & Scott, E.M. (2009). Air quality indicators in health studies. Book of short reports CLADAG 2009, CLEUP, Padua, 217-220.
Marlow, S., & Feiner, B. (1967). Experience with the New York state air pollution control rules – industrial sources. American Industrial Hygiene Association Journal, 28(2), 184-190.
https://doi.org/10.1080/00028896709342506
Pal, D., & Khan, S. (1990). A time dependent mathematical mo-del for dispersion of air pollutants from point sources. International Journal of Environmental Studies, 35(3), 197-208.
https://doi.org/10.1080/00207239008710565
Pearson, J.R., & Dammkoehler, A.R. (1978). Indirect source review: problems for the air pollution control agency. Journal of the Air Pollution Control Association, 28(4), 367-370.
https://doi.org/10.1080/00022470.1978.10470612
Rim, D., & Novoselac, A. (2010). Occupational exposure to hazardous airborne pollutants: effects of air mixing and source location. Journal of Occupational and Environmental Hygiene, 7(12), 683-692.
https://doi.org/10.1080/15459624.2010.526894
Sarycheva, L. (2003). Using GMDH in ecological and socio-economical monitoring problems. Systems Analysis Modelling Simulation, 43(10), 1409-1414.
https://doi.org/10.1080/02329290290024925
Tebbens, B.D. (1966). Air monitoring reflects air pollution control activity. Journal of the Air Pollution Control Association, 16(5), 261-262.
https://doi.org/10.1080/00022470.1966.10468471
The method of calculating the concentration in the air of harmful substances in the emissions of enterprises. (1987). Lenynhrad: Hydrometeoyzdat.
Vasenko, O.H., Rybalova, O.V., Artem’iev, S.R., Horban, N.S., Korobkova, H.V., Polozentsieva, V.O., Kozlovska, O.V., Matsak, A.O., & Savichiev, A.A. (2015). Integrated environmental assessments. Kharkiv: Lira.
Venkatadri, M., & Padma, S. (2014). A survey on air quality forecasting techniques niharika. International Journal of Computer Science and Information Technologies, 103-107.
Venttsel, E. (1998). Probability theory: studies for universities. Moscow, Russian Federation: High school.
Yadrenko, M. (1974). Random field. Encyclopedia of Energy, 376-377.
Yavorska, O., & Ikonnikov, O. (2010). Statistical analysis of atmospheric air in Ukraine. Scientific Bulletin of NLTU of Ukraine, 83-88.
Yerramilli, A., Rao Dodla, V.B., & Yerramilli, S. (2011). Air pollution, modeling and GIS based decision support systems for air quality risk assessment. Advanced Air Pollution, (17), 295-324.
https://doi.org/10.5772/22055
