Articles | Volume 22, issue 12
https://doi.org/10.5194/nhess-22-3897-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-3897-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Dec 2022
Research article |
| 07 Dec 2022
| 07 Dec 2022
Estimating dune erosion at the regional scale using a meta-model based on neural networks
Panagiotis Athanasiou
CORRESPONDING AUTHOR
Deltares, Delft, the Netherlands
Water Engineering and Management, Faculty of Engineering Technology,
University of Twente, Enschede, the Netherlands
Ap van Dongeren
Deltares, Delft, the Netherlands
Department of Coastal and Urban Risk & Resilience, IHE Delft
Institute for Water Education, Delft, the Netherlands
Alessio Giardino
Water Sector Group, Sustainable Development and Climate Change
Department, Asian Development Bank, Manila, Philippines
Michalis Vousdoukas
Joint Research Centre (JRC), European Commission, Seville, Spain
Jose A. A. Antolinez
Department of Hydraulic Engineering, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Delft, the Netherlands
Roshanka Ranasinghe
Deltares, Delft, the Netherlands
Water Engineering and Management, Faculty of Engineering Technology,
University of Twente, Enschede, the Netherlands
Department of Coastal and Urban Risk & Resilience, IHE Delft
Institute for Water Education, Delft, the Netherlands
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Short summary
Sandy dunes protect the hinterland from coastal flooding during storms. Thus, models that can efficiently predict dune erosion are critical for coastal zone management and early warning systems. Here we develop such a model for the Dutch coast based on machine learning techniques, allowing for dune erosion estimations in a matter of seconds relative to available computationally expensive models. Validation of the model against benchmark data and observations shows good agreement.
Sandy dunes protect the hinterland from coastal flooding during storms. Thus, models that can...
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