The application of probabilistic approaches to the performance of underground repositories for long-lived radioactive waste has received special attention in the last years. Numerous exercises have been developed in order to elicit the Probability Distribution Functions (PDFs) of the several parameters needed for these developments. Several integrated models allow the implementation of PDFs in the long-term simulations needed for Performance Assessment. In this work we present how the deterministic compartmental model for a repository of high level nuclear waste (HLNW) located in a crystalline host-rock has been modified to include PDFs for some of the parameters. The implementation of probabilistic approaches gives also information on the most influencing parameter on the migration of the different radionuclides from a deep repository concept.

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