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

Viewed

Total article views: 1,207 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
756 247 204 1,207 80 100
  • HTML: 756
  • PDF: 247
  • XML: 204
  • Total: 1,207
  • BibTeX: 80
  • EndNote: 100
Views and downloads (calculated since 18 Jun 2024)
Cumulative views and downloads (calculated since 18 Jun 2024)

Viewed (geographical distribution)

Total article views: 1,207 (including HTML, PDF, and XML) Thereof 1,167 with geography defined and 40 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Nov 2025
Download
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.
Share