[ZMS16] A New Approach to Estimate Uncertainty in Waste Characterization

Conférence Internationale avec comité de lecture : Advances in Nuclear Nonproliferation Technology and Policy Conference , September 2016, pp.pp, Santa Fe, USA,

Mots clés: radionuclear waste, bootstrap, linear models

Résumé: The characterization of radioactive waste is a complex task, especially when historical waste is involved. At the European Organization for Nuclear Research (CERN), gamma-ray spectrometry is used to estimate the specific activity of Easyto- Measure (ETM) radionuclides [1]. Difficult-to-Measure (DTM) radionuclides, which are beta and low-energy X-ray emitters, are either measured by radiochemical techniques or evaluated by calculations and Monte Carlo simulations . The specific activities are then compared to the acceptance limits of the national agencies for waste management. Waste producers must ensure that these limits are respected and must estimate the distribution of the quantities of interest together with their uncertainties. We selected weighted linear models for studying the relationship between ETM and measured DTM radionuclides. The use of the so-called bootstrap is described when calculating average specific activities of DTM radionuclides and their distributions. This last technique is also useful when a limited number of samples is available or their collection is made following a non-probabilistic model. Bootstrap can furthermore be used for bias estimation. We conclude by presenting a scheme to estimate the total uncertainty of the waste characterization process.

Commentaires: September 25-30, 2016


@inproceedings {
title="{A New Approach to Estimate Uncertainty in Waste Characterization}",
author=" B. Zaffora and M. Magistris and G. Saporta ",
booktitle="{Advances in Nuclear Nonproliferation Technology and Policy Conference }",
address="Santa Fe, USA",
note="{September 25-30, 2016}",