Impact assessment of extreme storm events using a Bayesian network

This paper describes an investigation on the usefulness of Bayesian Networks in the safety assessment of dune coasts. A network has been created that predicts the erosion volume based on hydraulic boundary conditions and a number of cross-shore profile indicators. Field measurement data along a large part of the Dutch coast has been used to...

Reducing uncertainty in prediction of dune erosion during extreme conditions

Coastal dunes protect low lying coastal areas against the sea. Extreme waves and water levels during severe storms may cause breaching of the dunes. Consequently, serious damage due to flooding and direct wave attack could occur, resulting in loss of life and property. Proper coastal management implies that reinforcement measures will be taken...

Probabilistic sensitivity analysis of dune erosion calculations

Coastal dunes protect low lying coastal areas against the sea. Extreme waves and water levels during severe storms may cause breaching of the dunes. Consequently, serious damage due to flooding and direct wave attack could occur, resulting in loss of life and property. Proper coastal management implies that reinforcement measures will be taken...

Vergelijking van afslagrisico's kustzone met risico's elders in Nederland

Om een beeld te krijgen van de relatieve omvang van het risico verbonden met afslag aan de kust heeft RIKZ het initiatief genomen voor het laten uitvoeren van een onderzoek gericht op een vergelijking van de risico’s in de afslagzone met watergebonden risico’s elders in Nederland. Met watergebonden risico’s worden de risico’s bij overstroming...