Preprints
https://doi.org/10.5194/sand-2024-1
https://doi.org/10.5194/sand-2024-1
18 Jun 2024
 | 18 Jun 2024
Status: this preprint is currently under review for the journal SaND.

Numerical uncertainty identification, classification and quantification in radioactive waste management

Vinzenz Brendler and Solveig Pospiech

Abstract. The work package “Uncertainty Management multi-Actor Network – UMAN” within EURAD European Joint Programme on Radioactive Waste Management was dedicated to the management of uncertainties potentially relevant to the safety of different radioactive waste management stages and programs. One important goal there was to compile, review, compare and refine strategies, approaches and tools for the management of uncertainties in the safety analysis and the safety case that are being used, planned to be used or being developed in different countries. This paper presents major findings from the UMAN deliverable D10.3 "Uncertainty identification, classification and quantification" that addresses approaches to identify and classify uncertainties that might be of relevance in the various stages of radioactive waste management as well as on the quantification of numerical uncertainties. The section on methodology compares Bottom-up and Top-down strategies, describes which sources were used for the report as input: expert elicitation (here primarily based on a respective questionnaire send out to UMAN participants) and literature survey. It then advices on how uncertainties can be structured to pave the way to a comprehensive assessment of numerical uncertainties: fishbone diagrams and tables for uncertainty characteristics. Results support the identification of uncertainties with high relevance for RWM. Nine suitable categories are identified; the uncertainties are then grouped (including representative examples utilizing fishbone diagrams and tables) according to the occurrence by system phenomena, following the themes and subthemes of the EURAD Roadmap. The last part is treating with the evaluation as well as quantification of uncertainties. The paper closes with recommendations aimed at future research directions for parameter uncertainties. Finally, it provides definitions for some terms frequently used (uncertainty in general, parameter uncertainty, uncertainty models, and aleatory vs. epistemic uncertainties) in a glossary.

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Vinzenz Brendler and Solveig Pospiech

Status: open (until 17 Aug 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on sand-2024-1', Fabien Magri, 03 Jul 2024 reply
  • RC1: 'Comment on sand-2024-1', Anonymous Referee #1, 07 Jul 2024 reply
  • RC2: 'Comment on sand-2024-1', Anonymous Referee #2, 12 Jul 2024 reply
Vinzenz Brendler and Solveig Pospiech
Vinzenz Brendler and Solveig Pospiech

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Short summary
Decisions associated with radioactive waste management are made in the presence of irreducible and reducible uncertainties. Here, the identification of such uncertainties (namely numerical ones), their ranking according to relevance, their categorization, the elucidation of internal dependencies and cross-interactions is addressed. Suitable methodologies to analyse and illustrate complex uncertainty patterns are discussed.