The RADON project is an innovative research initiative aiming at evaluating the feasibility and safety of using salt domes as disposal sites for nuclear waste. Salt domes are of interest due to their low permeability, high thermal conductivity, long-term geological stability, and ability to isolate hazardous materials. The project focuses on developing advanced methods for risk assessment, addressing uncertainties in hydrogeological, solute and heat transport processes that influence the safety of repositories in salt domes.
The primary objective of the RADON project is to provide a reliable framework for assessing risks associated with deep geological repositories in salt domes. This includes accounting for the impacts of variable density and viscosity in groundwater flow driven by temperature and salinity variations. By integrating numerical modeling, uncertainty quantification, and Bayesian Network approaches, the project to ensure comprehensive risk evaluations.
The RADON project is a collaborative effort between two partners at Leibniz Universität Hannover (LUH). The Institute for Risk and Reliability (IRZ) is responsible for developing the probabilistic framework, while the Institute for Fluid Mechanics and Environmental Physics in Civil Engineering (ISU) focuses on numerical simulations.
The project targets three major research areas:
The RADON project has established a robust methodology for risk assessment of salt domes as nuclear waste repositories. The integration of Enhanced Bayesian Networks and coupled flow models provides a comprehensive framework to:
Key insights emphasize the importance of precise estimation of transport parameters, including dispersivity and diffusion coefficients, and consideration of their uncertainty to ensure accurate risk evaluations.
Future research directions include:
The RADON project paves the way for safer nuclear waste disposal solutions, leveraging cutting-edge modeling and uncertainty quantification techniques to address complex geological challenges.
Suilmann, J., Molson, J., & Graf, T. (2025). Effect of mixing on groundwater age and life expectancy simulations in density-dependent flow. Accepted for publication in Hydrogeology Journal