Probabilistic modeling of wave climate and predicting dune erosion

Li, F., Van Gelder, P.H.A.J.M., Callaghan, D.P., Jongejan, R.B., Den Heijer, C. and Ranasinghe, R. (2013). Probabilistic modeling of wave climate and predicting dune erosion. In: Proceedings 12th International Coastal Symposium. 12th International Coastal Symposium, Plymouth, England, (760-765). 8-12 April 2013. doi:10.2112/SI65-129

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Author Li, F.
Van Gelder, P.H.A.J.M.
Callaghan, D.P.
Jongejan, R.B.
Den Heijer, C.
Ranasinghe, R.
Title of paper Probabilistic modeling of wave climate and predicting dune erosion
Conference name 12th International Coastal Symposium
Conference location Plymouth, England
Conference dates 8-12 April 2013
Proceedings title Proceedings 12th International Coastal Symposium   Check publisher's open access policy
Journal name Journal of Coastal Research   Check publisher's open access policy
Place of Publication West Palm Beach, FL United States
Publisher Coastal Education & Research Foundation, Inc.
Publication Year 2013
Year available 2013
Sub-type Fully published paper
DOI 10.2112/SI65-129
ISSN 0749-0208
Issue Special Issue 65
Start page 760
End page 765
Total pages 6
Collection year 2014
Language eng
Abstract/Summary 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 analyzed (1) to jointly estimate storm events variates of deep water wave conditions, and (2) to probabilistically compute dune erosion volume and the resulting coastal retreat distance with the simulated wave climate and plausible local sea level rise scenarios by 2100. The probabilistic coastline retreat models were applied and adjusted to the study site. Based on the outcomes of this application, a modeling technique can be established to propose a framework for probabilistically describing the coastal risk along the Dutch coast.
Subjects 2312 Water Science and Technology
1904 Performing Arts and Creative Writing
2303 Ecology
Keyword Dune erosion
Monte Carlo simulation
Probabilistic method
Sea level rise
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Collections: School of Civil Engineering Publications
Official 2014 Collection
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Created: Thu, 28 Nov 2013, 19:37:06 EST by System User on behalf of School of Civil Engineering