Presentation_1_A Clustering Approach for Predicting Dune Morphodynamic Response to Storms Using Typological Coastal Profiles: A Case Study at the Dutch Coast.PDF

Dune erosion driven by extreme marine storms can damage local infrastructure or ecosystems and affect the long-term flood safety of the hinterland. These storms typically affect long stretches (∼100 km) of sandy coastlines with variable topo-bathymetries. The large spatial scale makes it computationally challenging for process-based morphological models to be used for predicting dune erosion in early warning systems or probabilistic assessments. To alleviate this, we take a first step to enable efficient estimation of dune erosion using the Dutch coast as a case study, due to the availability... Mehr ...

Verfasser: Panagiotis Athanasiou
Ap van Dongeren
Alessio Giardino
Michalis Vousdoukas
Jose A. A. Antolinez
Roshanka Ranasinghe
Dokumenttyp: Text
Erscheinungsdatum: 2021
Schlagwörter: Oceanography / Marine Biology / Marine Geoscience / Biological Oceanography / Chemical Oceanography / Physical Oceanography / Marine Engineering / clustering / dune erosion / XBeach / K-means / data mining / Dutch coast
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-26631500
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.3389/fmars.2021.747754.s001