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The set of software tools for prompt assessment of possible pollution of the environment in case of an accident at a radioactively dangerous object

Published online by Cambridge University Press:  06 June 2009

V. P. Kisselev
Affiliation:
Nuclear Safety Institute of Russian Academy of Sciences, 52 B.Tulskaya St., 115191 Moscow, Russia
A. L. Krylov
Affiliation:
Nuclear Safety Institute of Russian Academy of Sciences, 52 B.Tulskaya St., 115191 Moscow, Russia
A. V. Nossov
Affiliation:
Nuclear Safety Institute of Russian Academy of Sciences, 52 B.Tulskaya St., 115191 Moscow, Russia
V. N. Semenov
Affiliation:
Nuclear Safety Institute of Russian Academy of Sciences, 52 B.Tulskaya St., 115191 Moscow, Russia
O. S. Sorokovickova
Affiliation:
Nuclear Safety Institute of Russian Academy of Sciences, 52 B.Tulskaya St., 115191 Moscow, Russia
A. L. Fockin
Affiliation:
Nuclear Safety Institute of Russian Academy of Sciences, 52 B.Tulskaya St., 115191 Moscow, Russia
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Abstract

In case of an accident at a radioactively dangerous object it is necessary to assess promptly possible consequences. Such prompt assessments are almost impossible without appropriate software modelling tools. Nuclear Safety Institute of Russian Academy of Sciences has developed the set of computer programs that enables experts to assess promptly impact of possible accidents on population and environment. The set of software tools includes: models of radionuclides transport in the atmosphere and water objects (rivers, lakes and ponds). It also includes models of assessment of doses of radioactive exposure of humans. The adequate modelling is not possible without accurate electronic maps of the neighborhood of a Nuclear Power Plant (NPP). Thus the electronic maps of neighborhood of all Russian NPP's are supplemented to the set of tools. The necessary data on local population and water objects surrounding NPP's is also included and stored in GIS-based (Geographical Information System) database. That enables numerical modelling to be done within tens of minutes at most. The GIS enables use of spatial data on fallout of radioactive substances from the model of atmospheric transport to be used as input data for modelling of transport in water objects.

Type
Research Article
Copyright
© EDP Sciences, 2009

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References

Arutunjan R.V., Belickov V.V., Belickova G.V., Sorokovickova O.S. et al., New effective numerical methods of modelling of migration of radioactive substances in the atmosphere and its practical use, Izvestia of Russian Academy of Sciences (Energy) 4 (1995).
Semenov V.N., Arutunjan R.V., Kisselev V.P., Fockin A.L. et al., Izvestia of Russian Academy of Sciences (Energy) 4 (1995).
Pasler-Sauer J., Comparative calculations and validation studies with atmospheric dispersion models. //Report KfK 4164, November 1986,130.
Rolf Lange. Journal of applied meteorology, 17, 3 (1978).
Grisenko A.I., Belov N.S., Semenov V.N. and Sorokovickova O.S., The Unique Experiments on the Assessment of Accident Consequences at the Gas Transport Systems. Society for Risk Analysis - EUROPE, Stockholm 1997, pp. 724–729.
Krylov A.L., Nossov A.V., Kisselev V.P., Zhilina N.I. and Kazakov S.V., Izvestia of Russian Academy of Sciences (Energy) 3 (2004).
Kazakov S., Kisselev V., Krylov A. and Zhilina N., “Informational and modelling computer system for prediction estimation and analysis of radioactive contamination of surface water objects”, In Proceedings the Second International Conference “River Basin Management II” Las-Palmas of Gran Canaria, Spain, 2003, edited by Brebbia C.A. (WIT Press, UK, 2003), pp. 289–298.
Krylov A.L., Nossov A.V., Kryshev A.I., Kryshev I.I. and Kisselev V.P., Meteorology and Hydrology 7 (2007).