Izvestiya of Saratov University.

Mathematics. Mechanics. Informatics

ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)


For citation:

Sukhinov A. I., Chistyakov A. E., Sidoryakina V. V., Kuznetsova I. Y., Atayan A. M. Using parallel computing to evaluate the transport of pollutants in shallow waters. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2024, vol. 24, iss. 2, pp. 298-315. DOI: 10.18500/1816-9791-2024-24-2-298-315, EDN: LXBVIR

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
31.05.2024
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Russian
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Article
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519.6
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LXBVIR

Using parallel computing to evaluate the transport of pollutants in shallow waters

Autors: 
Sukhinov Alexander I., Don State Technical University
Chistyakov Alexander E., Don State Technical University
Sidoryakina Valentina V., Don State Technical University
Kuznetsova Inna Yu., Southern Federal University
Atayan Asya M., Don State Technical University
Abstract: 

In many countries of the world, there is a deterioration in the geoecological state of water bodies, associated with a significantly increased anthropogenic impact on natural waters. At the same time, the guaranteed quality of water resources and its reliability are ensured by comparing the realized quality and the guaranteed one. This article discusses models for the entry and movement of pollutants contained in the aquatic environment. Based on the currently used approaches and water pollution criteria, a set of parallel programs for high-performance computing systems has been developed, which allows modeling of the processes under consideration, as well as assessing risks and vulnerabilities in relation to anthropogenic impacts, zoning the water area of a shallow water body in accordance with the levels of anthropogenic loads, environmental design from the standpoint of sustainable development.

Acknowledgments: 
This work was supported by the Russian Science Foundation (project No. 23-21-00509).
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Received: 
11.05.2023
Accepted: 
11.07.2023
Published: 
31.05.2024