Numerical Modeling for Enhanced Pollutant Transport Prediction in Industrial Atmospheric Air
Temirbekov N. Temirbekov A. Kasenov S. Tamabay D.
June 2024International Information and Engineering Technology Association
International Journal of Design and Nature and Ecodynamics
2024#19Issue 3917 - 926 pp.
The article examines the problem of atmospheric air pollution in the industrial city of Ust-Kamenogorsk, Kazakhstan. Due to the problem of inaccuracy of data on the concentration and volume of emissions from sources, as well as on changes in harmful substances during photochemical reactions in atmospheric air, the inverse problem of the source is constructed. Conjugate equations were used to simulate the spread of harmful impurities. The numerical realization of the inverse problem is carried out by the iterative Landweber method. Data from automated stations for monitoring the distribution of pollutants in the environment are used as additional information. The numerical calculation was carried out using the example of the distribution of pollutants in the atmospheric air of the industrial city of Ust-Kamenogorsk. The visualization of the simulation results is presented. The application of the developed model allows us to get a more accurate idea of the impact of industrial facilities on air quality and serves as the basis for decision-making in the field of regional environmental policy. Copyright:
air pollution modeling , data assimilation , method of conjugate equations , transformation of impurities , transport equation
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Faculty of Mechanics and Mathematics, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
National Engineering Academy of RK, Almaty, 050010, Kazakhstan
Faculty of Mechanics and Mathematics
National Engineering Academy of RK
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