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A Bayesian Network methodology for coastal hazard assessments on a regional scale: the BN-CRAF

Author
Sanuy, M.; Jimenez, J.A.; Plant, N.
Type of activity
Journal article
Journal
Coastal engineering
Date of publication
2020-04
Volume
157
First page
103627:1
Last page
103627:15
DOI
10.1016/j.coastaleng.2019.103627
Project funding
Adaptation pathways to Climate Change in the Spanish Mediterranean coastal zone. Beyond adaptability limits
Resilience-Increasing Strategies for Coasts - toolKIT
Repository
http://hdl.handle.net/2117/180392 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S037838391930170X Open in new window
Abstract
Hazard assessment is one of the key elements to be included in any coastal risk assessment framework. Characterizing storm-induced erosion and inundation involves the assessment of the coastal response under the forcing of a stochastic source (the storm), acting on a variable morphology (the beach) and inducing some damages. Hazard assessment under any present or future scenario will be affected by uncertainties either associated to the models used, the definition of climate conditions, and the ...
Citation
Sanuy, M.; Jimenez, J.A.; Plant, N. A Bayesian Network methodology for coastal hazard assessments on a regional scale: the BN-CRAF. "Coastal engineering", Abril 2020, vol. 157, p. 103627:1-103627:15.
Keywords
Bayesian networks, Coastal hotspots, Erosion, Inundation, Monte Carlo, SLR, Storms, Uncertainty
Group of research
LIM/UPC - Maritime Engineering Laboratory

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