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• W2162899548 abstract "Biosphere dose conversion factors are computed for the French high-level geological waste disposal concept and to illustrate the combined probabilistic and deterministic approach. Both 135Cs and 79Se are used as examples. Probabilistic analyses of the system considering all parameters, as well as physical and societal parameters independently, allow quantification of their mutual impact on overall uncertainty. As physical parameter uncertainties decreased, for example with the availability of further experimental and field data, the societal uncertainties, which are less easily constrained, particularly for the long term, become more and more significant. One also has to distinguish uncertainties impacting the low dose portion of a distribution from those impacting the high dose range, the latter having logically a greater impact in an assessment situation. The use of cumulative probability curves allows us to quantify probability variations as a function of the dose estimate, with the ratio of the probability variation (slope of the curve) indicative of uncertainties of different radionuclides. In the case of 135Cs with better constrained physical parameters, the uncertainty in human behaviour is more significant, even in the high dose range, where they increase the probability of higher doses. For both radionuclides, uncertainties impact more strongly in the intermediate than in the high dose range. In an assessment context, the focus will be on probabilities of higher dose values. The probabilistic approach can furthermore be used to construct critical groups based on a predefined probability level and to ensure that critical groups cover the expected range of uncertainty." @default.
• W2162899548 created "2016-06-24" @default.
• W2162899548 creator A5019756239 @default.
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• W2162899548 date "2010-01-01" @default.
• W2162899548 modified "2023-10-18" @default.
• W2162899548 title "Extension of sensitivity and uncertainty analysis for long term dose assessment of high level nuclear waste disposal sites to uncertainties in the human behaviour" @default.
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• W2162899548 doi "https://doi.org/10.1016/j.jenvrad.2009.08.012" @default.
• W2162899548 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19758732" @default.
• W2162899548 hasPublicationYear "2010" @default.
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