1. The Solution of Semi-empirical Equation of Turbulent Diffusion in Problems of Polluting Impurity Transfer by Gauss Approach
- Author
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Turar Duysebekov, Laura Alimzhanova, Vasily Serbin, Madina Alimanova, A.A. Kuandykov, Sayatbek Orazbekov, Dinara Kozhamzharova, and Kulanda Duysebekova
- Subjects
Pollution ,Normalization (statistics) ,0209 industrial biotechnology ,Mathematical optimization ,concentration ,Computer science ,Point source ,Gauss function ,media_common.quotation_subject ,Air pollution ,02 engineering and technology ,equation of turbulent diffusion ,medicine.disease_cause ,symbols.namesake ,020901 industrial engineering & automation ,pollution monitoring robot system ,0202 electrical engineering, electronic engineering, information engineering ,Gaussian function ,medicine ,Applied mathematics ,Air quality index ,General Environmental Science ,media_common ,Turbulent diffusion ,Gauss ,Function (mathematics) ,air quality ,Action (physics) ,Aerosol ,symbols ,General Earth and Planetary Sciences ,020201 artificial intelligence & image processing - Abstract
The analysis of the solution of the semi-empirical solution of turbulent diffusion in problems of polluting impurity transfer is carried out by Gauss approach. It is assumed that there is a certain occupied industrial point, which has one or several sources of the pollution, the arrangement of which is determined by coordinates x, y, z. For calculation of average impurity concentration from a point source the solution of semi-empirical equation by Gaussian function of impurity distribution, obtained by a method of Green's function was used. Furthermore, the normalization of the key parameters of the problem is carried out and the initial data are defined. By means of the obtained equation, the model of quantity assessment of the aerosol polluting substances arriving from a source with final and continuous duration of action is made. Thus, the considered computational and analytical model of methodology of assessing the concentration of polluting substances is applicable for applied problems of operational control of the condition of industrial region. Proposed model can be adapted to the air pollution monitoring robotic system.
- Published
- 2016
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