Www.floodrisk.org.uk EPSRC Grant: EP/FP202511/1 From offshore wave to coastal erosion and overtopping Nicolas Chini 1, Lucy Bricheno 2, Chris Wilson 2,

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Presentation transcript:

EPSRC Grant: EP/FP202511/1 From offshore wave to coastal erosion and overtopping Nicolas Chini 1, Lucy Bricheno 2, Chris Wilson 2, Maurice McCabe 1, Judith Wolf 2 & Peter Stansby 1 1 The University of Manchester 2 National Oceanography Centre

Context and Motivations  Operational Modelling Systems Predicting offshore extreme conditions But missing nearshore physical processes  Need to downscale the offshore predictions in order to assess water levels and wave conditions at the toe of the sea defence  Creation of an integrated modelling system and application to the November 2007 event that causes £170,000 worth damages at Walcott on the East Coast

Simulation of nearshore conditions  Comparison with field measurements  Estimation of the nearshore conditions off Walcott for the overtopping modelling

Long term coastal wave modelling Scatter plot of water level and significant wave height over 140 years off Walcott without including SLR  Tyndall Coastal program  GHG emission scenario : A1B From 1960 to 2100

Cliff recession (TOMAWAC - SCAPE)

Extreme value joint probability Scatter plot of water level vs SWH including joint probability isolines in 2100 without slr and showing the location of the nov 2007 event (red point) The same but with 1m SLR in 2100

Conclusions -A model has been set up and validated to transfer wave parameters towards the shore including the effect of varying water depth, requiring small computational times. -Regional modelling of water levels is sufficient for predicting nearshore conditions -Assessment of climate change scenarios and SLR impacts on nearshore wave conditions -Analyses of climate change and SLR impacts on cliff recession (SCAPE) -Simulation of the nearshore conditions for 2007 event at Walcott  inputs for overtopping modelling

EPSRC Grant: EP/FP202511/1 Acknowledgement The research reported in this presentation was conducted as part of the Flood Risk Management Research Consortium with support from the: Engineering and Physical Sciences Research Council Department of Environment, Food and Rural Affairs/Environment Agency Joint Research Programme United Kingdom Water Industry Research Office of Public Works Dublin Northern Ireland Rivers Agency Data were provided by the EA and the Ordnance Survey.