A quantitative multi-hazard risk assessment framework for compound flooding considering hazard inter-dependencies and interactions

Multi-hazard risk assessment may provide comprehensive analysis of the impact multiple hazards but still needs to resolve major challenges in three aspects: (1) proper consideration hazard inter-dependency, (2) physically based modelling interactions, and (3) fully quantitative show probability loss. Compound flooding is a typical multi-hazard problem that involves concurrence drivers, e.g. heavy rainfall, extreme river flow, storm surge. These drivers result from same weather system are thus statistically inter-dependent, overlayed interacted region. This paper aims address mentioned develop an integrated framework quantify compound flood risk. The constructed on components disaster assessment, i.e. hazard, vulnerability exposure analysis. In analysis, joint return period distributions estimated using Copula functions with dependency which then used generate random events drive 2D high-performance hydrodynamic model produce probabilistic inundation maps frequency-inundation curves. Vulnerability provides damage elements at risk, applied Greater London its downstream Thames estuary demonstrate capability analyse interactions inter-dependencies results such as curves quantifying loss illustrating annual expected residential buildings.