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Alternatives to the mathematical modeling of beaches

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Cooper, Andrew and Pilkey, OH (2004) Alternatives to the mathematical modeling of beaches. JOURNAL OF COASTAL RESEARCH, 20 (3). pp. 641-644. [Journal article]

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Abstract

dDespite acknowledgement by scientists and modelers of the shortcomings of mathematical models of beach behaviour, they continue in widespread use for engineering design and environmental impact studies. In part, this is because of the assumed absence of a viable alternative approach to prediction. The objective of this paper is to suggest that a conceptual approach can succeed as an alternative to mathematical models for predictions with accuracy ranges useful for engineering and coastal management purposes. The most valuable information for prediction is past engineering experience on the beach in question or the experience on neighboring beaches. The next most useful may be the global experience on oceanographically similar beaches. Another approach is the use of geoindicators and field studies on the beach. The widely applied ``predict nothing'' approach to beach engineering may well work if fortified by common sense. Finally, a composite approach in which the assembled body of information on a stretch of coast is considered and used to provide an expert judgement on the likely course of future coastal behavior is considered the best option. In all cases a gradualism or go-slow approach is strongly recommended because no method can accurately predict the response to engineering of the complex natural coastal system. Answers from such approaches will be approximations with significant error bars expressed in qualitative terms but will be based on a reality that applied models with all their simplified assumptions and omissions are incapable of achieving.

Item Type:Journal article
Faculties and Schools:Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Environmental Sciences
Research Institutes and Groups:Environmental Sciences Research Institute
Environmental Sciences Research Institute > Coastal Systems
ID Code:1396
Deposited By:Professor Andrew Cooper
Deposited On:26 Nov 2009 12:20
Last Modified:15 Jun 2011 11:17

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