A Regional Application of Bayesian Modeling for Coastal Erosion and Sand Nourishment Management
This paper presents an application of the Bayesian belief network for coastal erosion management at the regional scale. A “Bayesian ERosion Management Network” (BERM-N) is developed and trained based on yearly cross-shore profile data available along the Holland coast. Profiles collected for over 50 years and at 604 locations were combined with information on different sand nourishment types (i.e., beach, dune, and shoreface) and volumes implemented during the analyzed time period. The network was used to assess the effectiveness of nourishments in mitigating coastal erosion. The effectiveness... Mehr ...
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Dokumenttyp: | Text |
Erscheinungsdatum: | 2019 |
Verlag/Hrsg.: |
Multidisciplinary Digital Publishing Institute
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Schlagwörter: | BERM-N / coastal erosion / sea level rise / sand nourishments / Bayesian belief network / JarKus data / coastal state indicators / dune foot / momentary coastline / Holland coast |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28666078 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.3390/w11010061 |