The frequency and intensity of extreme floods are increasing worldwide, with direct consequences such as loss of life and property. Cutting-edge monitoring and simulation technologies are instrumental in guiding flood risk management. A variety of physical and conceptual hydrological and hydrodynamic models, as well as data-driven approaches (such as artificial intelligence, including machine learning), are available to inform flood risk assessment and management, including prevention, preparedness and recovery. These techniques provide the scientific community with a platform to explore the drivers of flood risk and develop effective flood risk reduction strategies. However, they also come with associated uncertainties.
This session aims to bring together experts, researchers, and practitioners to present and discuss recent developments in the field of flood risk mapping, assessment and management. Topics such as 1D, 2D and 3D modelling for flood risk assessment, emergency action planning and the analysis of dam and levees breaching, as well as the design of structural, non-structural and nature-based measures, are welcome. Research on the associated uncertainties, sensitivity analysis, and flood impact modelling is also relevant to the session.