Article

A multi-criteria weight of evidence approach for deriving ecological benchmarks for radioactive substances

Details

Citation

Garnier-Laplace J, Della-Vedova C, Andersson P, Copplestone D, Cailes C, Beresford NA, Howard BJ, Howe P & Whitehouse P (2010) A multi-criteria weight of evidence approach for deriving ecological benchmarks for radioactive substances. Journal of Radiological Protection, 30 (2), pp. 215-233. https://doi.org/10.1088/0952-4746/30/2/S02

Abstract
Dose rate benchmarks are required in the tiered approaches used to screen out benign exposure scenarios in radiological ecological risk assessment. Such screening benchmarks, namely the predicted no-effect dose rates (PNEDR), have been derived by applying, as far as possible, the European guidance developed for chemicals. To derive the ecosystem level (or generic) PNEDR, radiotoxicity EDR10 data (dose rates giving a 10% effect in comparison with the control) were used to fit a species sensitivity distribution (SSD) and estimate the HDR5 (the hazardous dose rate affecting 5% of species with a 10% effect). Then, a multi-criteria approach was developed to justify using an assessment factor (AF) to apply to the HDR5 for estimating a PNEDR value. Several different statistical data treatments were considered which all gave reasonably similar results. The suggested generic screening value of 10 µGy h − 1 (incremental dose rate) was derived using the lowest available EDR10 value per species, an unweighted SSD, and an AF of 2 applied to the estimated HDR5. Consideration was also given to deriving screening benchmark values for organism groups but this was not thought to be currently appropriate due to few relevant data being currently available.

Journal
Journal of Radiological Protection: Volume 30, Issue 2

StatusPublished
Publication date30/06/2010
PublisherSociety for Radiological Protection/ Institute of Physics
ISSN0952-4746
eISSN1361-6498

People (1)

Professor David Copplestone

Professor David Copplestone

Professor, Biological and Environmental Sciences