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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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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