Modelling memory of coastal flood systems

Karunarathna, H; Brown, J.M. ORCID: https://orcid.org/0000-0002-3894-4651; Briganti, R.; Pockrajac, D.; Haigh, I.; Beck, C.; Dissanayake, D.; Pedrozo-Acuna, D.; Sparrow, K.; Wadey, W.. 2014 Modelling memory of coastal flood systems. In: Lynett, Patrick, (ed.) Proceedings of 34th Conference on Coastal Engineering, Seoul, Korea, 2014. Reston, VA, Coastal Engineering Research Council, Paper-management.19. (Coastal Engineering Proceedings, 34).

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Abstract/Summary

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 time frames 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.

Item Type:	Publication - Book Section
Programmes:	NOC Programmes > Marine Physics and Ocean Climate NOC Programmes
ISBN:	978-0-9896611-2-6
Additional Keywords:	coastal flooding, storm sequence, XBeach, morphodynamic change, statistical storm analysis
NORA Subject Terms:	Marine Sciences
Date made live:	04 Mar 2015 09:47 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/509922

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