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NUCLEAR SAFETY INSTITUTE OF THE
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COMPUTATIONAL SOFTWARE FOR NUMERICAL MODELLING OF DISPERSION OF RADIOACTIVE CONTAMINATION IN LARGE WATER AREAS BY A LAGRANGIAN PUFF-PARTICLE MODEL REALIZED ON STATE-OF-THE ART HIGH-PERFORMANCE COMPUTATIONAL TECHNOLOGIES. PART I. (PREPRINT IBRAE-2018-01)

Computational software for numerical modelling of dispersion of radioactive contamination in large water areas by a Lagrangian puff-particle model realized on state-of-the art high-performance computational technologies. Part I. (preprint IBRAE-2018-01)

Publish year: 2018
Pages: 31
PUBLISHER: ÈÁÐÀÝ ÐÀÍ

Preprint IBRAE-2018-01 

Sorokovikova O.S., et al. 

In this paper computational software for numerical modelling of dispersion of radioactive contamination in large water areas is presented. One of the main purposes of this software is to localize water areas that are appropriate places for environmental monitoring and sampling. Localization of those areas, where contamination peaks might be expected, combined with appropriate measurement campaigns running in them, can be used to justify a more extended sampling strategy in case of increase in pollution levels and can be indicative of a possible breach in protective barriers.

The software is based on a Lagrangian stochastic puff-particle dispersion model. The model employs multi-year ocean currents databases in various large water areas obtained through reanalysis of the coupled ocean-atmosphere circulation based on data assimilation. In this paper a detailed description of the main assumptions and the key processes is given as well as the characteristics of currents needed to run a simulation.

Bibliographical reference

O.S. Sorokovikova, D.V. Dzama, D.G. Asfandiyarov. Computational software for numerical modelling of dispersion of radioactive contamination in large water areas by a Lagrangian puff-particle model realized on state-of-the art high-performance computational technologies. Part I. / Preprint ¹ IBRAE-2018-1. – Moscow: NSI RAS, 2018. – 29 p. – Bibliogr.: 24 items. 

© Nuclear Safety Institute, 2018




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