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The TOCATTA-χ model for assessing 14C transfers to grass: an evaluation for atmospheric operational releases from nuclear facilities

Authors :
D. Hébert
Raphaël Martin
Denis Maro
Séverine Le Dizès
C. Aulagnier
Romain Lardy
Institut de Radioprotection et de Sûreté Nucléaire (IRSN)
Laboratoire de Radioécologie de Cherbourg-Octeville (LRC)
UR 0874 Unité de recherche sur l'Ecosystème Prairial
Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA)
Institut National de la Recherche Agronomique (INRA)
Institute for Radioprotection and Nuclear Safety (IRSN)
French National Institute for Agricultural Research (INRA)
Grassland Ecosystem Research Group (UREP)
Source :
Journal of Environmental Radioactivity, Journal of Environmental Radioactivity, Elsevier, 2013, 120, pp.81-93. ⟨10.1016/j.jenvrad.2012.12.012⟩
Publication Year :
2013
Publisher :
Elsevier BV, 2013.

Abstract

International audience; Radioactive C-14 is formed as a by-product of nuclear power generation and from the operation of nuclear fuel reprocessing plants like AREVA-NC La Hague (North France), which releases about 15 TBq per year of C-14 into the atmosphere. This article evaluates a recently improved radioecology model (TOCATTA-chi) to assess C-14 transfers to grassland ecosystems under normal operating conditions. The new version of the TOCATTA model (TOCATTA-chi) includes developments that were derived from PaSiM, a pasture model for simulating grassland carbon and radiocarbon cycling. The TOCATTA-chi model has been tested against observations of C-14 activity concentrations in grass samples collected monthly from six plots which are located around the periphery of the reprocessing plant. Simulated C-14 activities are consistent with observations on both intensively managed and poorly managed grasslands, but an adaptation of the mean turn-over time for C-14 within the plant is necessary in the model to account for different management practices. When atmospheric C-14 activity concentrations are directly inferred from observations, TOCATTA-chi performs better than TOCATTA (the root mean square error is decreased by 45%), but when atmospheric C-14 activity concentrations are not known and must be calculated, the uncertainty associated with the TOCATTA-chi model outcomes is estimated to be larger than the standard deviation of the observations. (C) 2013 Elsevier Ltd. All rights reserved.

Details

ISSN :
0265931X and 18791700
Volume :
120
Database :
OpenAIRE
Journal :
Journal of Environmental Radioactivity
Accession number :
edsair.doi.dedup.....fc0f90454e28660095542a7ef7f17ebd
Full Text :
https://doi.org/10.1016/j.jenvrad.2012.12.012