Abstract
Flooding and coastal erosion is a frequent and widespread natural hazard in the UK. With increasing urban development pressures on flood systems and changing global climate, frequency and severity of flooding is rapidly increasing. Temporal clustering of flood events in time has a critical effect in reducing the ability of systems to recover to the pre-flood ‘norm’, leading to amplified flood damages in the second flood event. This can be considered as system memory, the timeframes of which will be highly variable and range from days to years according to system components. The current assumptions of flood risk are based on single-event simulations and fail to consider the spatio-temporal dynamics of morphological memory due to coastal erosion. The floodMEMORY project attempts to address this issue through a continuous flood simulation framework based on temporal clustering of flood drivers.
Highlights
Coastal flooding is a major and increasing natural hazard
Extreme weather patterns and rising sea levels resulting from global climate change increase the frequency and severity of flood risk all over the world
Flood risk management research has made substantial recent advances recognising the need for a systems approach where coupled human and environmental risk is implicit
Summary
Temporal clustering of flood events in time has a critical effect in reducing the ability of systems to recover to the pre-flood ‘norm’, leading to amplified flood damages in the second flood event. This can be considered as system memory, the timeframes of which will be highly variable and range from days to years according to system components. The current assumptions of flood risk are based on single-event simulations and fail to consider the spatio-temporal dynamics of morphological memory due to coastal erosion. The floodMEMORY project attempts to address this issue through a continuous flood simulation framework based on temporal clustering of flood drivers
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