Articles | Volume 3
https://doi.org/10.5194/sand-3-1-2025
https://doi.org/10.5194/sand-3-1-2025
Research article
 | 
03 Mar 2025
Research article |  | 03 Mar 2025

Numerical uncertainty identification, classification and quantification in radioactive waste management

Vinzenz Brendler and Solveig Pospiech

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Interactive discussion

Status: closed

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
    • AC1: 'Reply to revieweres comments on sand-2024-1', Vinzenz Brendler, 07 Nov 2024
  • RC1: 'Comment on sand-2024-1', Anonymous Referee #1, 07 Jul 2024
    • AC1: 'Reply to revieweres comments on sand-2024-1', Vinzenz Brendler, 07 Nov 2024
  • RC2: 'Comment on sand-2024-1', Anonymous Referee #2, 12 Jul 2024
    • AC1: 'Reply to revieweres comments on sand-2024-1', Vinzenz Brendler, 07 Nov 2024
  • RC3: 'Comment on sand-2024-1', Anonymous Referee #3, 13 Aug 2024
    • AC1: 'Reply to revieweres comments on sand-2024-1', Vinzenz Brendler, 07 Nov 2024
  • AC1: 'Reply to revieweres comments on sand-2024-1', Vinzenz Brendler, 07 Nov 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Vinzenz Brendler on behalf of the Authors (08 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Nov 2024) by Jens Eckel
RR by Anonymous Referee #2 (03 Dec 2024)
RR by Anonymous Referee #1 (04 Dec 2024)
ED: Publish subject to technical corrections (17 Dec 2024) by Jens Eckel
AR by Vinzenz Brendler on behalf of the Authors (03 Jan 2025)  Manuscript 
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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.
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