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RISC-KIT published a new research paper under the title "Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach"

The result of a collaboration between TU Delft, Deltares and Nathaniel Plant from U.S. Geological Survey, member of RISC-KIT's Expert Board, was published in the Journal of Coastal Engineering.

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Under the title "Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach", RISC-KIT partners TU Delft and Deltares, in collaboration with Nathaniel Plant from U.S. Geological Survey, member of RISC-KIT's Expert Board, published this new paper in the Journal of Coastal Engineering. 

 

The paper focusses on establishing relationships between observed damage and multiple hazard indicators in order to make better probabilistic predictions, i.e. to overcome the increased and important uncertainty when multiple hazards (flooding, wave attack, erosion, etc.) are considered simultaneously. The coupled hazard model, created using a Bayesian Network, was tested against four thousand damage observations from a case site at the Rockaway Peninsula, NY, that was impacted by Hurricane Sandy in late October, 2012. The model was able to accurately distinguish ‘Minor damage’ from all other outcomes 95% of the time and could distinguish areas that were affected by the storm, but not severely damaged, 68% of the time.

 

Access to the article to Elsevier subscribers is provided through the link.

 

 

 

 

 

 

 

waiaaa europa Deltares Ecologic CFR UAlg IMDC IO-BAS LIENSs-CNRS TUD WMO UPC CIMA BAW EurOcean SEI MU-FHRC UniCaen UCAM-CCRU UNESCO-IHE