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Parameter uncertainty analysis of a biokinetic model of caesium.
Radiat. Prot. Dosim. 163, 37-57 (2015)
Parameter uncertainties for the biokinetic model of caesium (Cs) developed by Leggett et al. were inventoried and evaluated. The methods of parameter uncertainty analysis were used to assess the uncertainties of model predictions with the assumptions of model parameter uncertainties and distributions. Furthermore, the importance of individual model parameters was assessed by means of sensitivity analysis. The calculated uncertainties of model predictions were compared with human data of Cs measured in blood and in the whole body. It was found that propagating the derived uncertainties in model parameter values reproduced the range of bioassay data observed in human subjects at different times after intake. The maximum ranges, expressed as uncertainty factors (UFs) (defined as a square root of ratio between 97.5th and 2.5th percentiles) of blood clearance, whole-body retention and urinary excretion of Cs predicted at earlier time after intake were, respectively: 1.5, 1.0 and 2.5 at the first day; 1.8, 1.1 and 2.4 at Day 10 and 1.8, 2.0 and 1.8 at Day 100; for the late times (1000 d) after intake, the UFs were increased to 43, 24 and 31, respectively. The model parameters of transfer rates between kidneys and blood, muscle and blood and the rate of transfer from kidneys to urinary bladder content are most influential to the blood clearance and to the whole-body retention of Cs. For the urinary excretion, the parameters of transfer rates from urinary bladder content to urine and from kidneys to urinary bladder content impact mostly. The implication and effect on the estimated equivalent and effective doses of the larger uncertainty of 43 in whole-body retention in the later time, say, after Day 500 will be explored in a successive work in the framework of EURADOS.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Icrps Dose Coefficients; Internal Dosimetry; Tract Model; Reliability; Zirconium; Predictions; Exposure; Members; Humans
Language
english
Publication Year
2015
HGF-reported in Year
2015
ISSN (print) / ISBN
0144-8420
e-ISSN
1742-3406
Journal
Radiation Protection Dosimetry
Quellenangaben
Volume: 163,
Issue: 1,
Pages: 37-57
Publisher
Oxford University Press
Publishing Place
Oxford
Reviewing status
Peer reviewed
POF-Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Research field(s)
Radiation Sciences
PSP Element(s)
G-503600-001
PubMed ID
24743755
WOS ID
WOS:000350116300005
Erfassungsdatum
2015-01-01