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Ranking uncertainties in atmospheric dispersion modelling following the accidental release of radioactive material

Authors :
F. Gering
Heiko Klein
Anne Mathieu
Irène Korsakissok
Raphaël Périllat
Tamás Pázmándi
C. Twenhöfel
S. Andronopoulos
Cs. Rudas
Peter Szanto
Joseph Wellings
J. Tomas
T. Hamburger
H. de Vries
A.R. Jones
Andrey Sogachev
Peter Bedwell
Karine Chevalier-Jabet
Gertie Geertsema
Susan Leadbetter
Source :
Radioprotection, Leadbetter, S J, Andronopoulos, S, Bedwell, P, Chevalier-Jabet, K, Geertsema, G, Gering, F, Hamburger, T, Jones, A R, Klein, H, Korsakissok, I, Mathieu, A, Pázmándi, T, Périllat, R, Rudas, C, Sogachev, A, Szántó, P, Tomas, J M, Twenhöfel, C, de Vries, H & Wellings, J 2020, ' Ranking uncertainties in atmospheric dispersion modelling following the accidental release of radioactive material ', Radioprotection, vol. 55, pp. S51-S55 . https://doi.org/10.1051/radiopro/2020012
Publication Year :
2020

Abstract

During the pre-release and early phase of an accidental release of radionuclides into the atmosphere there are few or no measurements, and dispersion models are used to assess the consequences and assist in determining appropriate countermeasures. However, uncertainties are high during this early phase and it is important to characterise these uncertainties and, if possible, include them in any dispersion modelling. In this paper we examine three sources of uncertainty in dispersion modelling; uncertainty in the source term, uncertainty in the meteorological information used to drive the dispersion model and intrinsic uncertainty within the dispersion model. We also explore the possibility of ranking these uncertainties dependent on their impact on the dispersion model outputs.

Details

ISSN :
00338451
Database :
OpenAIRE
Journal :
Radioprotection
Accession number :
edsair.doi.dedup.....b89e4e173014c2973105cfa9a6cce66b
Full Text :
https://doi.org/10.1051/radiopro/2020012