Arctic: ecology and economy
ISSN 2223-4594 | ISSN 2949-110X
Home Archive of journals Volume 11, No. 3, 2021 Development and application of an integrated system of mathematical models for the transfer of radionuclides upon a hypothetic accident to minimize radioecological consequences


JOURNAL: Volume 11, No. 3, 2021, p. 313-326

HEADING: Ecology

AUTHORS: Sarkisov, A.A., Antipov, S.V., Bilashenko, V.P., Vysotsky, V.V., Dzama, D.V., Kobrinskiy, .N., Pripachkin, D.A., Smolentsev, D.O., Shvedov, P.A.

ORGANIZATIONS: Nuclear Safety Institute of the Russian Academy of Sciences

DOI: 10.25283/2223-4594-2021-3-313-326

UDC: 621.039.4.003

The article was received on: 31.05.2021

Keywords: Russian Arctic zone, accidents, emergency response, nuclear power, low-power nuclear power plants, nuclear-powered icebreaker, safety, mathematical model, sea ice, floating thermal nuclear power plant

Bibliographic description: Sarkisov, A.A., Antipov, S.V., Bilashenko, V.P., Vysotsky, V.V., Dzama, D.V., Kobrinskiy, .N., Pripachkin, D.A., Smolentsev, D.O., Shvedov, P.A. Development and application of an integrated system of mathematical models for the transfer of radionuclides upon a hypothetic accident to minimize radioecological consequences. Arktika: ekologiya i ekonomika. [Arctic: Ecology and Economy], 2021, vol. 11, no. 3, pp. 313-326. DOI: 10.25283/2223-4594-2021-3-313-326. (In Russian).


An integrated system of mathematic models is developed and implemented. The system is aimed at predicting the spread of the radioactive materials in the Arctic waters from a complex source distributed in space and time, formed by an emergency release of radionuclides from a nuclear-powered facility. Such approach allows taking into account various mechanisms of radionuclide transfer in arbitrary combinations. In addition to customary considered atmospheric and marine advection-diffusion processes with sedimentation on the underlying surface, it takes into consideration other mechanisms. Among them are particle sedimentation to the sea bottom with bottom capture, reverse process of washing-out from the bottom sediments. Specially attended is the Arctic-specific mechanism of particle ice-binding in the sea ice, drift of the frozen particles with ice, and their return to marine environment in result of ice thawing. The latter process may result in the appearance of the radioactive source at the large distance from the initial source and long time after the release event. The integrated model complex will provide the most realistic picture of the radioactive trace spread. It will sure be the effective tool for minimizing the emergency negative impact on the population and environment. The article a stage of long-term work that is currently ongoing.

Finance info: The work is supported by the Russian Science Foundation Grant No. 20-19-00615 Research of the Radioecological Problems of the Russian Arctic in Order to Enhance Radiation and Ecological Safety of Humans and the Environment when Using Intensively Offshore and Onshore Nuclear-Powered Installations for the Sake of Advanced Development of the Region.

  1. Sarkisov A. A., Antipov S V., Smolentsev D. O. et al. Low-power nuclear power plants in the context of electric power systems transformation. Izv. vuzov. Yader. Energetika, 2020, no. 4, pp. 5—14. (In Russian).
  2. Low-Power Nuclear Power Plants — a New Line in the Development of Power Systems. Ed. Acad. A. A. Sarkisov. Moscow, Akadem-Print Publ., 2015, 387 p. (In Russian).
  3. Kuznetsov V. P., Demin V. F., Makarov V. I. et al. Issues of insurance of civil liability for nuclear damage from nuclear low-power plants. Izv. RAN. Energetika, 2014, no. 2, pp. 88—95. (In Russian).
  4. Sarkisov A. A., Antipov S. V., Bilashenko V. P. et al. Evaluation of Radionuclide Emission into the Environment in the Case of the Accident on the Sunken Nuclear Submarine B-159. Atomic Energy, 2016, vol. 119, no. 4, pp. 275—284. DOI: 10.1007/s10512-016-0060-8.
  5. Kashka M. M., Smirnov A. A., Golovinskii S. A. et al. Prospectives of development of nuclear icebreaker fleet. Arktika: ekologiya i ekonomika. [Arctic: Ecology and Economy], 2016, no. 3 (23), pp. 98—107. (In Russian).
  6. Sarkisov A. A. The Question of Clean-up of Radioactive Contamination in the Arctic Region. Herald of the Russian Academy of Sciences, 2019, vol. 89, no. 1, pp. 7—22. DOI: 10.1134/S1019331619010106.
  7. Antipov S. V., Bilashenko V. P., Vysotsky V. L. et al. Prediction and Evaluation of the Radioecological Consequences of a Hypothetical Accident on the Sunken Nuclear Submarine B-159 in the Barents Sea. Atomic Energy, 2015, vol. 119, no. 2, pp. 132—141. Available at: https://doi.org/10.1007/s10512-015-0039-x.
  8. Sarkisov A. A., Antipov S. V., Bilashenko V. P. et al. Mathematical modeling of corrosion destruction of objects in marine environment. Atom. energiya, 2021, vol. 130, no. 1, pp. 7—13. (In Russian).
  9. Rosenergoatom: “Floating Power Unit “Academician Lomonosov” is ready for commissioning”. Electron. journ. “Bezopasnost’ yader. tekhnologiy i okruzhayushchei sredy”, 2019, no. 121. Available at: https://www.atomic-energy.ru/news/2019/04/24/94286. (In Russian).
  10. Sarkisov A. A., Vysotskii V. L., Pripachkin D. A. Reconstruction of the Radioactive Contamination Occurring in the Environment in Primorskii Krai as a Result of a Nuclear Accident on a Submarine in Bukhta Chazhma. Atomic Energy, 2020, vol. 127, no. 3, pp. 159—165. DOI: 10.1007/s10512-020-00604-8.
  11. Arutyunyan R. V., Pripachkin D. A., Sorokovikova O. S. et. al. PARRAD System and Its Testing on Real Radioactive Emissions Into the Atmosphere. Atomic Energy, 2017, vol. 121, no. 3, pp. 220—226. DOI: 10.1007/s10512-017-0187-2.
  12. Belikov V. V., Golovisnin V. M., Katyshkov Yu. V. et al. NOSTRADAMUS — computer system for prediction of the radiation situation. Verification of the model of atmospheric transfer of impurity. Modeling of Radionuclide Transport in the Environment. Ed. by R. V. Arutyunyan. Moscow, Nauka Publ., 2008, pp. 41—103. (Proc. of IBRAE RAS, iss. 9). (In Russian).
  13. Ibrayev R. A., Ushakov K. V., Khabeev R. N. Eddy-Resolving 1/10° Model of the World Ocean. Izvestiya, Atmospheric and Oceanic Physics, 2012, vol. 48, no. 1, pp. 37—46. DOI: 10.1134/S0001433812010045.
  14. Kalnitskii L. Y., Kaurkin M. N., Ushakov K. V., Ibrayev R. A. Seasonal Variability of Water and Sea-Ice Circulation in the Arctic Ocean in a High-Resolution Model. Izvestiya, Atmospheric and Oceanic Physics, 2020, vol. 56, no. 5, pp. 522—533. DOI: 10.1134/S0001433820050060.
  15. Griffies S. M., Biastoch A., Böning C. et al. Coordinated ocean-ice reference experiments (COREs). Ocean modelling, 2009, vol. 26, . 1—46.
  16. Hunke E. C., Lipscomb W. H.,Turner A. K. et al. CICE: the Los Alamos Sea Ice Model Documentation and Software User’s Manual Version 5.1., 2015. Available at: http://oceans11.lanl.gov/trac/CICE/attachment/wiki/WikiStart/cicedoc.pdf?format.
  17. almykov V. V., Ibrayev R. A., Kaurkin M. N., Ushakov K. V. Compact Modeling Framework v3.0 for high-resolution global ocean–ice–atmosphere models. Geosci. Model Dev., 2018, vol. 11, . 3983—3997. Available at: https://doi.org/10.5194/gmd-11-3983-2018.
  18. Large W., Yeager S. The global climatology of an interannually varying air–sea flux data set. Clim. Dyn., 2009, vol. 3, no. 2—3, . 341—364.

Download »

© 2011-2024 Arctic: ecology and economy
DOI 10.25283/2223-4594