tailieunhanh - Statistical sampling applied to the radiological characterization of historical waste

The present article discusses the application of linear regression, scaling factors (SF) and the so-called “mean activity method” to estimate the activity of DTM nuclides on metallic waste produced at the European Organization for Nuclear Research (CERN). | Statistical sampling applied to the radiological characterization of historical waste EPJ Nuclear Sci. Technol. 2 34 2016 Nuclear Sciences B. Zaffora et al. published by EDP Sciences 2016 amp Technologies DOI epjn 2016031 Available online at http REGULAR ARTICLE Statistical sampling applied to the radiological characterization of historical waste Biagio Zaffora1 Matteo Magistris1 Gilbert Saporta2 and Francesco Paolo La Torre1 1 CERN 1211 Geneva 23 Switzerland 2 CEDRIC-CNAM 292 Rue Saint-Martin 75003 Paris France Received 18 December 2015 Received in final form 23 May 2016 Accepted 26 July 2016 Abstract. The evaluation of the activity of radionuclides in radioactive waste is required for its disposal in final repositories. Easy-to-measure nuclides like g-emitters and high-energy X-rays can be measured via non- destructive nuclear techniques from outside a waste package. Some radionuclides are difficult-to-measure DTM from outside a package because they are a- or b-emitters. The present article discusses the application of linear regression scaling factors SF and the so-called mean activity method to estimate the activity of DTM nuclides on metallic waste produced at the European Organization for Nuclear Research CERN . Various statistical sampling techniques including simple random sampling systematic sampling stratified and authoritative sampling are described and applied to 2 waste populations of activated copper cables. The bootstrap is introduced as a tool to estimate average activities and standard errors in waste characterization. The analysis of the DTM Ni- 63 is used as an example. Experimental and theoretical values of SFs are calculated and compared. Guidelines for sampling historical waste using probabilistic and non-probabilistic sampling are finally given. 1 Introduction A statistical correlation can be checked only if the sampling technique adopted is probabilistic. In the present The evaluation of the activity of the radionuclides .