SIMULATION OF MICROBIOLOGICAL DESTRUCTION PROCESS OF OIL POLLUTION IN SHALLOW WATER
https://doi.org/10.23947/2587-8999-2021-1-1-9-25
Abstract
The paper covers the research of microbiological destruction processes of petroleum origin pollutants in a shallow water taking into account a number of determining factors that affect the distribution of pollution in the researched water area: the oil fractional composition, the processes of evaporation, dissolution, biological oxidation of petrohydrocarbons by microorganisms, as well as hydrodynamic and chemical-biological features of the water. A complex of interrelated spatially inhomogeneous mathematical models was proposed that allow researching the dynamics of microbiological destruction processes of petroleum hydrocarbons in shallow water. Schemes with weight taking into account the partial filling of computational cells of the simulated domain were developed at model discretization that made it possible to significantly increase the accuracy of calculations and reduce the calculation time. Based on a multiprocessor computer system, experimental software has been developed for predictive modeling of the ecological situation of shallow water in the event of accidental pollution by oil and other harmful substances during natural and technogenic challenges.
Keywords
Supporting agencies: The reported study was funded by RFBR according to the research project № 19-01-00701.
About the Authors
A. A. Filina
Supercomputers and Neurocomputers Research Center
Russian Federation
Russian Federation
Filina Alena, Candidate of Technical Science, Scientific Researcher
Italyansky lane, 106, Taganrog
V. V. Sidoryakina
Taganrog Institute of A.P. Chekhov (branch) of RSUE
Russian Federation
Russian Federation
Sidoryakina Valentina, Candidate of Science in Physics and Maths, Associate professor
Initiative Street, Taganrog
A. E. Chistyakov
Don State Technical University
Russian Federation
Russian Federation
Chistyakov Alexander, Doctor of Science in Physics and Maths, Professor
Gagarin square, 1, Rostov-on-Don
A. V. Nikitina
Don State Technical University; Southern Federal University
Russian Federation
Russian Federation
Nikitina Alla, (Chekhov str., 2, Taganrog, Russian Federation), Doctor of Technical Science, Associate professor
Chekhov str., 2, Taganrog
References
1. Rosenberg, G.S., Zinchenko, T.D. Stability of hydroecosystems: a review of the problem // Arid ecosystems. – 2014. – № 4 (61). – P. 11–23 (In Russian).
2. Fay, J.A. Physical processes in the spread of oil on a water surface // Proc. of the Joint conf. prevention and control oil spills. – Washington: Amer. Petrol. Inst. – 1971. – P. 463–467.
3. Keyyong, Hong. A real-time simulation of the trajectory and fate of spilled oil at sea / Keyyong Hong, Sun-Young Kim // Korea Research Institute of Ships and Ocean Engineering. – International oil spill conference. – 1997. – P. 573–577.
4. Carracedo, P., Torres-Lopez, S., Barreiro, M., Montero, P., Balseiro, C.F., Penabad, E., Leitao, P.C., Perez-Munuzuri, V. Improvement of pollutant drift forecast system applied to the Prestige oil spills in Galicia Coast (NW of Spain): Development of an operational system // Marine Pollution Bull. – 2006. – Vol. 53. – P. 350–360.
5. Sukhinov, A.I., Chistyakov, A.E., Nikitina, A.V., Belova, Y.V., Sumbaev, V.V., Semenyakina, A.A. Supercomputer Modeling of Hydrochemical Condition of Shallow Waters in Summer Taking into Account the Influence of the Environment // Communications in Computer and Information Science. – 2018. – P. 336–351. – DOI: 10.1007/978-3- 319-99673-8.
6. Xie, H., Yapa, P.D., Nakata, K. Modeling emulsification after an oil spill in the sea // J. of Marine Systems. – 2007. – Vol. 68. – P. 489–506.
7. Lapin D. V., Cherchago A. A., Chistyakov A. E. Joint expedition researches of hydrophysical parameters of the Azov Sea on the multipurpose yacht "Burevestnik" and NIS t/x "Platov" // Izvestiya SFedu. Technical sciences. – 2009. – № 8(97). – P. 82-89 (On Russian).
8. Sukhinov, A.I., Nikitina, A.V., Chistyakov, A.E., Sumbaev, V.V., Abramov, M., Semenyakina, A.A. Predictive modeling of suffocation in shallow waters on a multiprocessor computer system // Lecture Notes in Computer Science. 2017. – P. 172–180. – DOI: 10.1007/978-3-319-62932-2_16.
9. Matishov, G.G., Ilyichev, V.G. On optimal exploitation of water resources. The concept of internal prices // Reports of the Academy of Sciences. – 2006. – Vol. 406, № 2. – P. 249–251 (In Russian).
10. Reed, M., Johansen, O., Brandvik, P.J., Daling, P., Lewis, A., Fiocco, R., Mackay, D., Prentki, R. Oil spill modeling towards the close of the 20th century: overview of the state of the art // Spill Science and Technology Bulletin. – 1999. – Vol. 5, № 1. – P. 3–16.
11. Dembitsky S.I., Urtenov M.Kh., Sharpan M.V. Mathematical modeling and analysis of biological destruction of oil at different methods of applying biological products // Ecological systems and devices. – 2007. – №11 (In Russian).
12. Nakhushev, A.M. Uravneniia matematicheskoi biologii [Equations of Mathematical Biology]. – Moscow, Vysshaia shkola. – 1995. – 301 pp. (In Russian).
13. Chetverushkin, B.N. Resolution limits of continuous media models and their mathematical formulations // Math. Models Comput. Simul. –2013. – Vol. 5, №3. – P. 266–279.
14. Sukhinov, A.I., Chistyakov, A.E., Isayev, A. Nikitina, A.V., Sumbaev, V.V., Semenyakina, A.A.: Complex of Models, High-Resolution Schemes and Programs for the Predictive Modeling of Suffocation in Shallow Waters // Communications in Computer and Information Science. – 2017 – Vol. 753. – P. 169–185 – DOI: 10.1007/978-3-319-67035-5_13.
15. Sukhinov, A.I., Chistyakov, A.E. Adaptive modified alternating triangular iterative method for solving grid equations with a non-self-adjoint operator // Mathematical Models and Computer Simulations. – 2012. – Vol. 4, № 4. – P. 398–409.
16. Sukhinov, A.I., Chistyakov, A.E., Ugol’nitskii, G.A., Usov, A.B., Nikitina, A.V., Puchkin, M.V., Semenov, I.S. Game-theoretic regulations for control mechanisms of sustainable development for shallow water ecosystems // Automation and Remote Control. – 2017. – Vol. 78, № 6. – P. 1059–1071. – DOI: 10.1134/S0005117917060078
17. Sukhinov, A.I. Mathematical model for calculating coastal wave processes / A.I. Sukhinov, A.E. Chistyakov, E.F. Timofeeva, A.V. Shishenya // Mathematical Models and Computer Simulations. – 2013. – Vol. 5, № 2. – P. 122–129.
18. Belotserkovskii, O.M., Gushchin, V.A., Shchennikov, V.V.: Decomposition method applied to the solution of problems of viscous incompressible fluid dynamics // Comput. Math. Math. Phys. – 1975. – № 15. – P. 197–207 (1975).
19. Voevodin, V.V., Voevodin, Vl.B. Parallel computingю – SPB.: BHV-Petersburg. – 2002. – 608 p. (In Russian).
20. Semenyakina, A., Protsenko, S. Complex of parallel programs for modeling oil products transport in coastal systems // MATEC Web of Conferences. – 2017. – P. 04016.
21. Nikitina, A.V., Semenyakina, A.A., Chistyakov, A.E. Parallel implementation of the diffusionconvection problem based on high-order accuracy schemes // Bulletin of Computer and Information Technologies. – 2016. – № 7 (145). – P. 3-8 (In Russian).
22. Sukhinov, A.I., Chistyakov, A.E., Nikitina, A.V., Lyashchenko, T.V., Filina, A.A., Litvinov, V.N. The use of supercomputer technologies for predictive modeling of pollutant transport in boundary layers of the atmosphere and water bodies // Communications in Computer and Information Science. 2019. – Vol. 1063. – P. 225–241.
23. GIS-Association. URL: http://www.gisa.ru/assoc.html
24. Delvigne, G.A.L., Swinney, C.E. Natural dispersion of oil // Oil and Chemical Pollution. – 1988. – Vol. 17. – P. 281–310.
Review
For citations:
Filina A.A., Sidoryakina V.V., Chistyakov A.E., Nikitina A.V. SIMULATION OF MICROBIOLOGICAL DESTRUCTION PROCESS OF OIL POLLUTION IN SHALLOW WATER. Computational Mathematics and Information Technologies. 2021;5(1):9-25. https://doi.org/10.23947/2587-8999-2021-1-1-9-25
Views:
164
Email this article 