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documentationDocumentation of uncertainty and sensitivity analysis results
Model uncertainties considered The concept of identifying, describing, and defining the treatment approach for model uncertainties is relevant across various technical elements of a PRA.
Description of the uncertainty
Impact on the model
Whether the uncertainty is quantified
How the uncertainty is addressed
Uncertainty ID
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numberNumber of samples if using simulation Specific to simulation-based propagation methods (like Monte Carlo and Latin Hypercube) and is a general parameter for such methods.
Uncertainty propagation method Defines the method used to propagate uncertainty, which is a general concept applicable across different types of uncertainty analysis within a PRA.
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quantificationMethod used to quantify uncertainty in the estimated source term
Description of the method used
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methodJustification?: stringJustification for selecting this method
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randomSeed value for random number generator if using simulation Used in simulation-based uncertainty propagation to ensure reproducibility or to control the random number generation process.
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releaseUncertainties in release fractions or quantities
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sensitivitySensitivity studies for unquantified uncertainties Sensitivity analysis is a general technique used to assess the impact of parameter variations or uncertainties on the results of an analysis.
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sourceReference to the source term or release category being analyzed
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transportUncertainties specific to transport phenomena
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uncertaintyResults of uncertainty propagation
Description
Extends the base uncertainty analysis with mechanistic source term specific aspects.
Implements
MS-D1