Worldwide, frequency and intensity of extreme floods are increasing, causing direct consequences in terms of loss of life and properties. Cutting-edge monitoring and simulation technologies have become instrumental for guiding flood risk management. A range of physical/conceptual hydrological and hydrodynamic models and data-driven models (e.g., Artificial Intelligence, which includes Machine Learning) with their associated uncertainties are available to inform flood risk assessment and management, including prevention and preparedness. Such techniques provide a platform for the scientific community to explore the drivers of flood risk and to build up effective approaches for flood risk mitigation.
The objective of this session is to bring together experts, researchers, and practitioners to present and discuss recent developments in the field of flood inundation mapping, flood hazard mapping, risk assessment, and flood risk management. Topics such as 1D, 2D and 3D modelling for flood risk assessment, emergency action planning, dam & levees break analysis , different flooding scenarios with (structural and non-structural) defences and without them, their associated uncertainties and sensitivity analysis and flood impact analysis at all stages are also welcome.
Invited Speaker:
Prof. Bruce Malamud, Department of Geography, Durham University, UK (https://www.durham.ac.uk/staff/bruce-malamud/)