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Adaptation of the RODOS system for analysis of possible sources of Ru-106 detected in 2017.

Authors :
Kovalets, Ivan V.
Romanenko, Oleksandr
Synkevych, Roman
Source :
Journal of Environmental Radioactivity. Sep2020, Vol. 220, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

In this work, we present a method to use the European nuclear emergency response system RODOS for analysis of potential sources of airborne radioactivity of an unknown origin. The method is based on a solution of adjoint equations, without modification of the code of long-range atmospheric dispersion model MATCH used in RODOS. The method has been successfully applied to the Ru-106 accident of 2017. The obtained spatial distribution of the correlation between simulations and measurements which could be achieved with source located in a given place, is in a qualitative agreement with analogous results published in other works. The high correlation is centered on the Ural Mountains; this is explained by a very wide expansion of the plume. However, the location of the maximum correlation obtained in this work is in the northern part of Russia, close to a military test site on Novaya Zemlya. This location is far away from the reprocessing plant Mayak in the South-Eastern Urals mentioned in other investigations as the most probable location of the source. In the results presented here, the correlation at the source location corresponding to the Mayak plant is still quite high (0.49); release inventory from this source of about 300 TBq could explain the observed measurements. • Method to analyse possible sources of radioactivity from an unknown origin with the RODOS system. • Results applied to the 2017 Ru-106 accident are in a qualitative agreement with other studies. • Possible sources include the Mayak reprocessing plant and a military test site on Novaya Zemlya. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0265931X
Volume :
220
Database :
Academic Search Index
Journal :
Journal of Environmental Radioactivity
Publication Type :
Academic Journal
Accession number :
143782154
Full Text :
https://doi.org/10.1016/j.jenvrad.2020.106302