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 ...

Verfasser: Alessio Giardino
Eleni Diamantidou
Stuart Pearson
Giorgio Santinelli
Kees Den Heijer
Dokumenttyp: Text
Erscheinungsdatum: 2019
Verlag/Hrsg.: Multidisciplinary Digital Publishing Institute
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-29076083
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3390/w11010061