Journal of Radioanalytical and Nuclear Chemistry

, Volume 322, Issue 2, pp 1195–1199 | Cite as

Uncertainty estimation in non-destructive characterization of radioactive waste packages: some general remarks

  • Thomas BücherlEmail author
  • Christoph Lierse von Gostomski


Segmented gamma scanning is a widely used method for identification and quantification of gamma-emitting nuclides in a waste package containing radioactive materials. The quotation of uncertainties nevertheless is challenging, as one has to differentiate between uncertainties based on statistical effects and those on lack-of-knowledge on the real content in the waste package (i.e. bias). Usually only the first is reported, while the effect of the latter might be the most dominant part. We present a simple approach considering the lack-of-knowledge in data evaluation and compare these results with the results of considering statistical uncertainties for a real waste package inspected at the ZTWB Radiochemie München (RCM) of the Technische Universität München.


Segmented gamma-scanning Uncertainty Bias Radioactive waste Non-destructive characterization 



  1. 1.
    Synopsis of Gamma Scanning Systems. Accessed 14 Apr 2019
  2. 2.
    Moulin V et al. X-ray imaging modalities for nuclear waste drums inspection. Accessed 14 Apr 2019
  3. 3.
    Bücherl T, Kalthoff O, von Gostomski CL (2017) Feasibility study on reactor based fission neutron radiography of 200-l waste packages. Phys Procedia. CrossRefGoogle Scholar
  4. 4.
    Synopsis of Neutron Assy Systems. Accessed 14 Apr 2019
  5. 5.
    Filss P (1995) Relation between the activity of a high-density waste drum and its gamma count rate measured with an unshielded Ge-detector. Appl Radiat Isot 46(8):805–812CrossRefGoogle Scholar
  6. 6.
  7. 7.
    Wahl W. α,β,γ-table, radionuclide-handbook, version 6.0.x January 2019. Accessed 14 Apr 2019
  8. 8.

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2019

Authors and Affiliations

  1. 1.ZTWB Radiochemie München RCMTechnische Universität MünchenGarchingGermany

Personalised recommendations