The main objective of this research was to apply, improve and optimize the use of dynamic run-out models in quantitative risk assessment, focusing on the parameterization of the models, and the analysis of uncertainty. Since a variety of models exists for simulating mass-flows and for identifying the intensity of the hazardous phenomena, it is important to assess these models, perform a parameterization and reduce their uncertainties. This will enable to improve the understanding to assess the hazard and will provide the link with vulnerability curves that will lead eventually to generate risk curves and quantify the risk. This research describes the state of the art in dynamic run-out modelling focusing on continuum depth-average models. Three different dynamic run-out models (MassMov2D, DAN3D and RAMMS) were selected for a sensitivity analysis of their resistance parameters using the Voellmy rheology. Three test sites were used: Barcelonnette in France, Valtellina di Tirano in Italy, and a site in Kerala, India.
