Statistical simulation of wave climate and extreme beach erosion

Callaghan, D., Nielsen, P., Short, A. and Ranasinghe, R. (2008) Statistical simulation of wave climate and extreme beach erosion. Coastal Engineering, 55 5: 375-390. doi:10.1016/j.coastaleng.2007.12.003

Author Callaghan, D.
Nielsen, P.
Short, A.
Ranasinghe, R.
Title Statistical simulation of wave climate and extreme beach erosion
Journal name Coastal Engineering   Check publisher's open access policy
ISSN 0378-3839
Publication date 2008-01-01
Year available 2008
Sub-type Article (original research)
DOI 10.1016/j.coastaleng.2007.12.003
Open Access Status DOI
Volume 55
Issue 5
Start page 375
End page 390
Total pages 16
Place of publication Netherlands
Publisher Elsevier BV
Language eng
Subject C1
0905 Civil Engineering
960902 Coastal and Estuarine Land Management
Abstract Recent developments in extreme values modelling have been used to develop a framework for determining the coastal erosion hazard on sandy coastlines. This framework quantitatively reproduced the extreme beach erosion volumes obtained from field measurements at Narrabeen Beach, Australia. This encouraging finding was achieved using Kriebel and Dean's [Kriebel, D.L. and Dean, R.G., 1993. Convolution method for time-dependent beach profile response. Journal of Waterway, Port, Coastal and Ocean Engineering, 119(2): 204-226.] simple beach erosion and accretion model. The method includes allowances for joint probability between all basic erosion variates including; wave height, period and direction, event duration, tidal anomalies and event spacing. A new formulation for the dependency between wave height and period has been developed. It includes the physical wave steepness limitation. Event grouping, where significantly more erosion can occur from two closely spaced storms is handled by temporally simulating the synthetic wave climate and the resulting beach erosion and accretion. (C) 2007 Elsevier B.V. All rights reserved.
Keyword Engineering, Civil
Engineering, Ocean
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
School of Civil Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 91 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 27 Mar 2009, 19:45:39 EST by Katherine Montagu on behalf of School of Civil Engineering