MODELING POLLUTION DISTRIBUTION PROCESSES IN SHALLOW WATER BODIES TAKING INTO ACCOUNT GRAVITATIONAL SEDIMENTATION PROCESSES
https://doi.org/10.23947/2587-8999-2022-1-3-137-150
Abstract
A hydrophysics mathematical model of a shallow water body is proposed, including the pollutants (PS) transport equation, taking into account their gravitational settling, numerically implemented in the software module form. The developed software module makes it possible to evaluate the pollutant concentrations distribution during their deposition from the aquatic environment surface. A model for predicting the distribution of pollutants along the vertical coordinate in a reservoir is proposed, taking into account the movement of the water environment.
Keywords
About the Authors
T. V. LyashchenkoRussian Federation
Lyashchenko Tatyana Vladimirovna, senior lecturer of the Department of Economics and Finance
Turgenevsky lane, 13, Taganrog, Russian Federation
А. Чистяков
Russian Federation
Chistyakov Alexander Evgenievich, Doctor of Physical and Mathematical Sciences, Professor of the Department of Computer Science and Automated Systems Software
1st Gagarin Square, Rostov-on-Don, Russian Federation
A. V. Nikitina
Russian Federation
Nikitina Alla Valerievna, Doctor of Technical Sciences, Professor of the Department of Computer Science and Automated Systems Software, Don State Technical University; Doctor of Technical Sciences, Professor of the Department of Intelligent and Multiprocessor Systems, Russian Federation Southern Federal University
1st Gagarin Square, Rostov-on-Don, Russian Federation;
Chekhov street, 2, Taganrog, Russian Federation
M. V. Porksheyan
Russian Federation
Porksheyan Markos Vitalievich, (1), lecturer of the Department of Natural Sciences
1st Gagarin Square, Rostov-on-Don, Russian Federation
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Review
For citations:
Lyashchenko T.V., , Nikitina A.V., Porksheyan M.V. MODELING POLLUTION DISTRIBUTION PROCESSES IN SHALLOW WATER BODIES TAKING INTO ACCOUNT GRAVITATIONAL SEDIMENTATION PROCESSES. Computational Mathematics and Information Technologies. 2022;6(3):137-150. https://doi.org/10.23947/2587-8999-2022-1-3-137-150