A framework for modelling shoreline response to clustered storm events: a case study from southeast Australia

Nichol, Scott L., McPherson, Andrew, Davies, Gareth, Jiang, Wenping, Howard, Floyd, Gravois, Uriah, Callaghan, David and Baldock, Tom (2016) A framework for modelling shoreline response to clustered storm events: a case study from southeast Australia. Journal of Coastal Research, 1 75: 1197-1201. doi:10.2112/SI75-240.1


Author Nichol, Scott L.
McPherson, Andrew
Davies, Gareth
Jiang, Wenping
Howard, Floyd
Gravois, Uriah
Callaghan, David
Baldock, Tom
Title A framework for modelling shoreline response to clustered storm events: a case study from southeast Australia
Journal name Journal of Coastal Research   Check publisher's open access policy
ISSN 0749-0208
1551-5036
Publication date 2016-03
Sub-type Article (original research)
DOI 10.2112/SI75-240.1
Open Access Status Not yet assessed
Volume 1
Issue 75
Start page 1197
End page 1201
Total pages 5
Place of publication Coconut Creek, FL, United States
Publisher Coastal Education & Research Foundation
Collection year 2017
Language eng
Abstract An overview of a framework for modelling shoreline response to clustered storm events is presented for a case study area on the high energy coast of southeast Australia. We adopt the coastal sediment compartment as the functional management and modelling unit and use sub-surface information (ground-penetrating radar) to assess sediment thickness in the upper beach and foredune. Results for an actively eroding beach face at Old Bar Beach (New South Wales) indicate that sand cover is highly variable at the critical beach-dune interface, ranging from less than 1 m where bedrock occurs in shallow sub-crop to greater than 4 m across a former tidal inlet. The temporal distribution of storm events is examined through statistical modelling. For the duration of the data, modeled wave parameters are in good agreement with wave buoy observations. Event clustering does not appear to be stronger than is expected from events that occur randomly in time. Together, these data provide site-specific information necessary to inform shoreline response modeling to storms by establishing the requisite conditions describing the geomorphic setting and nearshore process regime.
Keyword Beach erosion
Sediment compartment
Time series
Coastal management
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
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