Large-scale laboratory experiments focusing on the main physical processes driving dune erosion have been performed in a wave flume with a sandy dune exposed to a combination of water levels and wave conditions (Tomasicchio et al., 2011b) providing observations of different interaction regimes: collapsing, overwash and breaching (Sallenger et al., 2003).The large set of data has been considered to obtain measurements of beach-dune cross-shore profile evolution, hydrodynamic properties and suspended sediment concentration.Results show that erosion develops faster during the first hundred waves, there is a clear influence of wave period (van Gent et al., 2008) and water depth on the resilience of the beach-dune system, and that sediment concentration at a given transect depends on the bar position.Furthermore, the observed data have been adopted to verify the predictive accuracy of two open source process-based profile numerical models.
Wave-dune interaction and beach resilience in large-scale physical model tests / F. D'Alessandro, G. Tomasicchio. - In: COASTAL ENGINEERING. - ISSN 0378-3839. - 116(2016), pp. 15-25.
Wave-dune interaction and beach resilience in large-scale physical model tests
F. D'Alessandro
;
2016
Abstract
Large-scale laboratory experiments focusing on the main physical processes driving dune erosion have been performed in a wave flume with a sandy dune exposed to a combination of water levels and wave conditions (Tomasicchio et al., 2011b) providing observations of different interaction regimes: collapsing, overwash and breaching (Sallenger et al., 2003).The large set of data has been considered to obtain measurements of beach-dune cross-shore profile evolution, hydrodynamic properties and suspended sediment concentration.Results show that erosion develops faster during the first hundred waves, there is a clear influence of wave period (van Gent et al., 2008) and water depth on the resilience of the beach-dune system, and that sediment concentration at a given transect depends on the bar position.Furthermore, the observed data have been adopted to verify the predictive accuracy of two open source process-based profile numerical models.File | Dimensione | Formato | |
---|---|---|---|
J.13_CENG_116_2016.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
1.35 MB
Formato
Adobe PDF
|
1.35 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.