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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Cited articles

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Brendler, V. and Pospiech, S.: Uncertainty identification, classification and quantification, Final version as of 20/02/2024 of deliverable D10.3 of the HORIZON 2020 project EURAD, European Commission, https://www.ejp-eurad.eu/sites/default/files/2024-02/EURAD%20-%20D10.3%20Uncertainty%20identification%2C%20classification%20and%20quantification.pdf (last access: 27 February 2025), 2024. 
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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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