Volume 12, no. 3Pages 115 - 129

Supercomputer Simulation of Oil Spills in the Azov Sea

A.I. Sukhinov, A.E. Chistyakov, A.A. Filina, A.V. Nikitina, V.N. Litvinov
We present the research on microbiological destruction of oil pollution in shallow water. In order to conduct the research, we use a multiprocessor computer system with distributed memory. The research takes into account the oil fractional composition as well as hydrodynamic and chemical-biological features of water. In order to simulate the dynamics of hydrocarbon microbiological degradation in the Azov Sea, we propose the complex of interrelated precision models. For model discretization, we use the space splitting schemes taking into account the partial filling cells of computational domain. Therefore, the computational accuracy significantly increases, while the computational time decreases. On supercomputer, we implement an experimental software for predictive modelling the ecological situation under oil and other pollution conditioned by natural and industrial challenges in shallow water.
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Keywords
oil pollution; biodegradation of petroleum hydrocarbons; shallow water; mathematical model; algorithm; supercomputer.
References
1. Dembitsky S.I., Urtenov M.Kh., Sharpan M.V. Mathematical Modelling and Analysis of the Biological Destruction of Oil with Different Ways of Making Biological Products. Ecological Systems and Devices, 2007, no. 11, pp. 48-51.
2. Perevaryukha A.Yu. Uncertainty of Asymptotic Dynamics in Bioresource Management Simulation. Journal of Computer and Systems Sciences International, 2011, vol. 50, no. 3, pp. 491-498. DOI: 10.1134/S1064230711010151
3. Chetverushkin B.N. Resolution Limits of Continuous Media Models and Their Mathematical Formulations. Mathematical Models and Computer Simulations, 2013, vol. 5, no. 3, pp. 266-279. DOI: 10.1134/S2070048213030034
4. Shiahn-wern Shyue, Hung-chun Sung, Yung-fang Chiu. Oil Spill Modeling Using 3D Cellular Automata for Coastal Waters. Proceeding of 17th International Offshore and Polar Engineering Conference, 2007, pp. 546-553.
5. Yihdego Y., Al-Weshah R.A. Hydrocarbon Assessment and Prediction Due to the Gulf War Oil Disaster, North Kuwait. Water Environment Research, 2017, vol. 89, no. 6, pp. 484-499. DOI: 10.2175/106143016X14798353399250
6. Chistyakov A.E., Nikitina A.V., Ougolnitsky G.A. et al. A Differential-Game Model of Prevention Zamora in Shallow Waters. Proceedings of the Conference Management of Large Systems, 2015, no. 55, pp. 343-361.
7. Johansen O. Dispersion of Oil from Drifting Slicks. Spill Technology Newsletter, 1982, pp. 134-149.
8. Mackay D., Buist I., Mascarenhas R., Paterson S. Oil Spill Processes and Models. Ottawa, 1980.
9. Chistyakov A.E., Semenyakina A.A. The Application of Interpolation Methods for Reconstruction of the Bottom Surface. Izvestiya YuFU. Tekhnicheskie nauki, 2013, no. 4 (141), pp. 21-28.
10. Nikitina A.V., Sukhinov A.I., Ugolnitsky G.A. et al. Optimal Control of Sustainable Development in the Biological Rehabilitation of the Azov Sea. Mathematical Models and Computer Simulations, 2017, vol. 9, no. 1, pp. 101-107. DOI: 10.1134/S2070048217010112
11. Belotserkovskii O.M. Turbulentnost': novye podhody [Turbulence: New Approaches]. Moscow, Nauka, 2003.
12. Samarskii A.A. Teoriya raznostnyh shem [The theory of Difference Schemes]. Moscow, Nauka, 1977.
13. Belotserkovskii O.M., Gushhin V.A., Shhennikov V.V. Use of the Splitting Method to Solve Problems of the Dynamics of a Viscous Incompressible Fluid. Journal of Computational Mathematics and Mathematical Physics, 1975, vol. 15, no. 1, pp. 190-200. DOI: 10.1016/0041-5553(75)90146-9
14. Abdusamadov A.S., Panarin A.P., Magomedov A.K. et al. The Solubility and Degradation of Oil in Seawater. South of Russia: Ecology, Development, 2012, vol. 1, pp. 165-166. DOI: 10.18470/1992-1098-2012-1-165-166
15. Fay J.A. Physical Processes in the Spread of Oil on a Water Surface. Procceeding of Joint Conference on Prevention and Control of Oil Spills, 1971, pp. 463-467. DOI: 10.7901/2169-3358-1971-1-463
16. Akhmetov I.V., Gubaydullin I.M. Information-Analytical System of Chemical Technology Processes Modeling by the Use of Parallel Calculations. CEUR Workshop Proceedings of the 4th International Conference on Information Technology and Nanotechnology, Samara, 2018, pp. 139-145. DOI: 10.18287/1613-0073-2018-2212-139-145
17. Copeland G., Wee Thiam-Yew. Current Data Assimilation Modelling for Oil Spill Contingency Planning. Environmental Modelling and Software, 2006, vol. 21, no. 2, pp. 142-155. DOI: 10.1016/j.envsoft.2004.04.022
18. Tyutyunov Yu.V., Titova L.I., Senina I.N. Prey-Taxis Destabilizes Homogeneous Stationary State in Spatial Gause-Kolmogorov-Type Model for Predator-Prey System. Ecological Complexity, 2017, vol. 31, pp. 170-180. DOI: 10.1016/j.ecocom.2017.07.001
19. Unified State System of Information on the Situation in the World Ocean. Available at: esimo.ru/portal/auth/portal/arm-csmonitor/Settlement-Model+Complex (accessed 17 August 2018).
20. National Oceanic and Atmospheric Administration. Available at: hobitus.com/noaa (accessed 17 August 2018).
21. Analytical GIS. Available at: geo.iitp.ru/index.php (accessed 17 August 2018).
22. National Aeronautics and Space Administration. Available at: nasa.gov (accessed 17 August 2018).
23. SRC 'Planet'. Available at: planet.iitp.ru/index1.html (accessed 17 August 2018).
24. Resolution of the Government of the Russian Federation on April 15, 2002. No. 240 On the Procedure for Organizing the Activities for Prevention and Liquidation of Oil Spills in the Russian Federation.
25. Nikitina A.V., Semenov I.S. Parallel Implementation of the Toxic Algae Dynamics Model in the Azov Sea Using the Multithreading in the Windows Operating System. Izvestiya YuFU. Tekhnicheskie nauki, 2013, no. 1 (138), pp. 130-135.
26. Tkalich P., Chan E.S. Vertical Mixing of Oil Droplets by Breaking Waves. Marine Pollution Bulletin, 2002, vol. 44, no. 11, pp. 152-161. DOI: 10.1016/S0025-326X(02)00178-9
27. Chistyakov A.E., Khachunts D.S. Software Implementation of the Two-Dimensional Problem of Air Environment Motion. Izvestiya YuFU. Tekhnicheskie nauki, 2013, no. 4 (141), pp. 15-21.
28. Modelling of Emergency Oil Spills and Oil Products for Planning Actions in Emergency Conditions. Moscow, ArcReview, DATA+, 2003.
29. 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, no. 4, pp. 398-409. DOI: 10.1134/S2070048212040084
30. Gushchin V.A., Sukhinov A.I., Nikitina A.V. et al. A Model of Transport and Transformation of Biogenic Elements in the Coastal System and Its Numerical Implementation. Computational Mathematics and Mathematical Physics, 2018, vol. 58, no. 8, pp. 1316-1333. DOI: 10.1134/S0965542518080092
31. Yakushev E.V., Sukhinov A.I., Lukashev Yu.F. et al. Comprehensive Oceanological Studies of the Sea of Azov During Cruise 28 of R/V Akvanavt (July-August 2001). Oceanology, 2003, vol. 43, no. 1, pp. 39-47.
32. Sukhinov A.I., Nikitina A.V., Semenyakina A.A., Chistyakov A.E. Complex of Models, Explicit Regularized Schemes of High-Order of Accuracy and Applications for Predictive Modeling of After-Math of Emergency Oil Spill. Proceedings of the 10th Annual International Scientific Conference on Parallel Computing Technologies, 2016, vol. 1576, pp. 308-319.