Moving radiation protection on from the limitations of empirical concentration ratios

Beresford, N.A.; Willey, N.. 2019 Moving radiation protection on from the limitations of empirical concentration ratios. Journal of Environmental Radioactivity, 208-209, 106020. 8, pp. 10.1016/j.jenvrad.2019.106020

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Official URL: http://dx.doi.org/10.1016/j.jenvrad.2019.106020

Abstract/Summary

Radionuclide activity concentrations in food crops and wildlife are most often predicted using empirical concentration ratios (CRs). The CR approach is simple to apply and some data exist with which to parameterise models. However, the parameter is highly variable leading to considerable uncertainty in predictions. Furthermore, for both crops and wildlife we have no, or few, data for many radionuclides and realistically, we are never going to have specific data for every radionuclide - wildlife/crop combination. In this paper, we present an alternative approach using residual maximum likelihood (REML) fitting of a linear mixed effects model; the model output is an estimate of the rank-order of relative values. This methodology gives a less uncertain approach than the CR approach, as it takes into account the effect of site; it also gives a scientifically based extrapolation approach. We demonstrate the approach using the examples of Cs for plants and Pb for terrestrial wildlife. This is the first published application of the REML approach to terrestrial wildlife (previous applications being limited to the consideration of plants). The model presented gives reasonable predictions for a blind test dataset.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.jenvrad.2019.106020
UKCEH and CEH Sections/Science Areas:	Pollution (Science Area 2017-)
ISSN:	0265-931X
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	radioecology
NORA Subject Terms:	Ecology and Environment
Date made live:	22 Jul 2019 13:27 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/524409

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.jenvrad.2019.106020

UKCEH and CEH Sections/Science Areas:

Pollution (Science Area 2017-)

ISSN:

0265-931X

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

radioecology