nerc.ac.uk

Applying process-based models to the Borssele scenario

Brown, J.E.; Beresford, N.A.; Hosseini, A; Barnett, C.L. ORCID: https://orcid.org/0000-0001-9723-7247. 2020 Applying process-based models to the Borssele scenario [in special issue: Coping with uncertainties for improved modelling and decision making in nuclear emergencies. Key results of the CONFIDENCE European research project] Radioprotection, 55 (HS1). S109-S117. https://doi.org/10.1051/radiopro/2020020

Before downloading, please read NORA policies.
[img]
Preview
Text
N527607JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (3MB) | Preview

Abstract/Summary

The objective of this paper is to consider the implications of employing process-based models on predictions for radionuclide activity concentrations in grass and cow milk. The FDMT (Food Chain and Dose Module for Terrestrial Pathways as used in the JRODOS and ARGOS decision support systems) model has been transferred to a modelling platform enabling sub-models to be modified and replaced. Primarily, this has involved invoking process-based models for 137Cs and 90Sr that account for soil chemistry in simulating bioavailability and plant transfer. The implementation of such models can lead to quite dramatic differences in predicted activity concentrations of radionuclides in grass and milk compared to a default FDMT set-up for time periods later than a few weeks post deposition. Considering transfer within a spatial context, by combining information from the outputs of process-based models with illustrative soil maps, leads to the observation that the most elevated 137Cs and 90Sr concentrations in grass and milk might not necessarily occur in areas where deposition is highest. Not accounting for soil type when modelling food chain transfer might lead to the sub-optimal allocation of resources or misidentification of the most vulnerable areas in the long-term after an accidental release.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1051/radiopro/2020020
UKCEH and CEH Sections/Science Areas: Pollution (Science Area 2017-)
ISSN: 0033-8451
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: food chain, transfer, 137Cs, 90Sr, countermeasures, radioecology
NORA Subject Terms: Ecology and Environment
Date made live: 03 May 2020 08:47 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/527607

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...