Probabilistic estimation of coastal dune erosion and recession by statistical simulation of storm events

Li, F., Gelder, P. H. A. J. M. V., Vrijling, J. K., Callaghan, D. P., Jongejan, R. B. and Ranasinghe, R. (2014) Probabilistic estimation of coastal dune erosion and recession by statistical simulation of storm events. Applied Ocean Research, 47 53-62. doi:10.1016/j.apor.2014.01.002


Author Li, F.
Gelder, P. H. A. J. M. V.
Vrijling, J. K.
Callaghan, D. P.
Jongejan, R. B.
Ranasinghe, R.
Title Probabilistic estimation of coastal dune erosion and recession by statistical simulation of storm events
Journal name Applied Ocean Research   Check publisher's open access policy
ISSN 0141-1187
1879-1549
Publication date 2014-08-01
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.apor.2014.01.002
Volume 47
Start page 53
End page 62
Total pages 10
Place of publication Pergamon Press
Publisher Elsevier
Language eng
Abstract Knowledge about future oceanographic events will assist governments to better manage risk in coastal zones, a crucial task in the light of projected sea level rise, population growth and economic development. In this study, a 31-year data set of deep water wave climate parameters and bathymetry measurements (yearly cross-shore transect surveys) at Noordwijk, the Netherlands, were analysed to jointly estimate storm events variates of deep water wave conditions, and to probabilistically compute dune erosion volume and the resulting dune retreat distance with the simulated wave climate and possible local sea level rise scenarios by 2100. The probabilistic dune retreat models were applied and adjusted to the study site. Based on the outcomes of this application, a modelling technique can be established to propose a framework for probabilistically describing the coastal erosion and recession along the coast protected by dunes.
Keyword Probabilistic method
Monte carlo simulation
DUNERULE model
Dune erosion
Sea level rise
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2015 Collection
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 20 May 2014, 11:59:28 EST by System User on behalf of School of Civil Engineering