The identification and assessment of natural hazards is a crucial component of disaster risk management. This course will focus on the modelling of natural hazards, with an emphasis on hydro-meteorological hazards (floods, landslides and erosion). Starting from the relevant natural phenomena and their causes, the generation of historical inventories of hazardous phenomena will be discussed. From the cloud-based generation of the hazard inventories and their interpretation, the course will expand on the main methods and tools to assess the susceptibility and hazard at different scales. The course will provide the foundation for predictive approaches with a particular focus given to statistical models of multivariate nature. The latter will combine the spatial and temporal dimensions. The use of empirical models will further investigate runout patterns to estimate areas under threat.
The course runs in parallel to the "Introduction to Hazard and Risk" course (Q2.1) where data input for hazard modelling are explained. The two course are closely coupled and part of the necessary knowledge for the "Data-Driven Hazard modeling" course will be gained in parallel through lessons and concepts explained in Q2.1.