Assessing radiation impact at a protected coastal sand dune site: an intercomparison of models for estimating the radiological exposure of non-human biota.
This paper presents the application of three publicly available biota dose assessment models (the ERICA Tool, R&D128/SP1a and RESRAD-BIOTA) to an assessment of the Drigg coastal sand dunes. Using measured (90)Sr, (99)Tc, (137)Cs, (238)Pu, (239+240)Pu and (241)Am activity concentrations in sand dune soil, activity concentration and dose rate predictions are made for a range of organisms including amphibians, birds, invertebrates, mammals, reptiles, plants and fungi. Predicted biota activity concentrations are compared to measured data where available. The main source of variability in the model predictions is the transfer parameters used and it is concluded that developing the available transfer databases should be a focus of future research effort. The value of taking an informed user approach to investigate the way in which models may be expected to be applied in practice is highlighted and a strategy for the future development of intercomparison exercises is presented.
Wood
Michael D
MD
Institute for Sustainable Water Integrated Management and Ecosystem Research (SWIMMER), Nicholson Building, University of Liverpool, Liverpool, Merseyside L69 3GP, United Kingdom. mwood@liv.ac.uk
Beresford
Nicholas A
NA
Barnett
Catherine L
CL
Copplestone
David
D
Leah
Richard T
RT
D000465:Algorithms; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D063245:Plant Development; D010944:Plants / Q000528:radiation effects; D011839:Radiation, Ionizing; D011850:Radioactive Waste; D011868:Radioisotopes / Q000032:analysis; D018570:Risk Assessment / Q000379:methods*; D012822:Silicon Dioxide; D012989:Soil Pollutants / Q000032:analysis*
D011850:Radioactive Waste; D011868:Radioisotopes; D012989:Soil Pollutants; D012822:Silicon Dioxide