Pollutant transport modeling using Gaussian approximation for the solution of the semi-empirical equation
Rakhmetulayeva S.B. Duisebekova K.S. Kozhamzharova D.K. Aitimov M.Zh.
30 March 2021Little Lion Scientific
Journal of Theoretical and Applied Information Technology
2021#99Issue 81730 - 1739 pp.
The paper presents the process of modeling air pollution processes and constructing concentration fields at small and medium distances from the emission source (which most accurately reflects the physical picture of atmospheric pollution with constant emissions) based on two approaches –on scattering according to Gaussian formulas, which includes an estimate of the concentration distribution pollutants along the coordinate axes and on the theory of mass transfer (the so-called gradient models or K-models based on solving the equations of turbulent diffusion. According to this method, the process of transport of harmful substances is described by the equations of turbulent diffusion in the atmosphere. Applying then averaging techniques pass from the diffusion equation for instantaneous concentrations to the equation of turbulent diffusion for average values of concentrations.
Big data , Dynamic data , Intelligent system , Monitoring , Sensors
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International Information Technology University, Department of Information Systems, Kazakhstan
Al-Farabi Kazakh National University, Almaty, Kazakhstan
Kyzylorda University named after Korkytata, Kyzylorda, Kazakhstan
International Information Technology University
Al-Farabi Kazakh National University
Kyzylorda University named after Korkytata
10 лет помогаем публиковать статьи Международный издатель
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