Estimating coastal recession due to sea level rise: Beyond the Bruun rule

Ranasinghe, Roshanka, Callaghan, David and Stive, Marcel J. F. (2012) Estimating coastal recession due to sea level rise: Beyond the Bruun rule. Climatic Change, 110 3-4: 561-574. doi:10.1007/s10584-011-0107-8

Author Ranasinghe, Roshanka
Callaghan, David
Stive, Marcel J. F.
Title Estimating coastal recession due to sea level rise: Beyond the Bruun rule
Journal name Climatic Change   Check publisher's open access policy
ISSN 0165-0009
Publication date 2012-02
Year available 2011
Sub-type Article (original research)
DOI 10.1007/s10584-011-0107-8
Volume 110
Issue 3-4
Start page 561
End page 574
Total pages 14
Place of publication Dordrecht, Netherlands
Publisher Springer
Collection year 2012
Language eng
Abstract Accelerated sea level rise (SLR) in the twenty-first century will result in unprecedented coastal recession, threatening billions of dollars worth of coastal developments and infrastructure. Therefore, we cannot continue to depend on the highly uncertain coastal recession estimates obtained via the simple, deterministic method (Bruun rule) that has been widely used over the last 50 years. Furthermore, the emergence of risk management style coastal planning frameworks is now requiring probabilistic (rather than deterministic, single value) estimates of coastal recession. This paper describes the development and application of a process based model (PCR model) which provides probabilistic estimates of SLR driven coastal recession. The PCR model is proposed as a more appropriate and defensible method for determining coastal recession due to SLR for planning purposes in the twenty-first century and beyond.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online: 10 June 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2012 Collection
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Citation counts: TR Web of Science Citation Count  Cited 30 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 35 times in Scopus Article | Citations
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