Abstract
Denmark is surrounded by more than 7,300 km soft coastline considered at high risk of storm erosion. The presence of more than 13,000 groins, shore parallel breakwaters and revetments clarify the need of protecting infrastructure and property against coastal erosion in a changing climate. The Danish Coastal Authority is responsible for carrying out a national risk assessment evaluating the risk level of storm erosion today, and in 2070 and 2120. This abstract focusses on the methodology for the calibration and validation of the numerical model Xbeach for calculating cliff retreat during storms using measured storm data. It is of highest priority to set up a model, which can perform on a national scale. In this work, it is shown that a single model setup is able to estimate the cliff retreat for all types of Danish coasts in both a 1D and 2D model approach.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/FUqgGu95g7M
Highlights
The retreat of sandy cliffs in Denmark is estimated by applying the Open Source Software XBeach
The 1D XBeach model grid is gradually refined towards the coast with maximum cell size of 100 m and minimum cell size of 1 m
This work showed that XBeach is capable of estimating the retreat of sandy cliffs during a storm for at least four different types of beaches using the same model parameters
Summary
The retreat of sandy cliffs in Denmark is estimated by applying the Open Source Software XBeach. The hydrodynamic input for XBeach constitutes of hindcast storm data from 60 hydrographic locations in the Danish waters from 1995 to 2017 (DHI, 2019a) from a coupled hydrodynamic and spectral wave model (DHI, 2019b). The 1D XBeach model grid is gradually refined towards the coast with maximum cell size of 100 m and minimum cell size of 1 m. The XBeach model is calibrated at Vedersoe, exposed to the North Sea, to a severe storm measured in January 2005.
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