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: | |
---|---|
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 |
Powered By: | BASE |
Link(s) : | https://doi.org/10.3389/fmars.2021.747754.s001 |