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Coastal modelling for flood defence

Authors: Jurjen A, Battjes; Herman, Gerritsen;

Coastal modelling for flood defence

Abstract

This paper reviews practices and trends in hydrodynamic and statistical analyses and modelling in the Netherlands with regard to the risk of coastal flooding. We restrict ourselves to the physical phenomena of tides, storm surges and wind waves. We first give a brief outline of established policy in the Netherlands regarding accepted levels of risk of flooding, and current changes therein. This is followed by a summary of a statistical reanalysis of historical storm-surge data combined with numerical hydrodynamic modelling, aimed at improved estimates of probabilities of occurrence of extreme water levels along the Dutch coast. Recent developments concerning the physical and numerical modelling of inundation of low-lying areas are presented. State-of-the-art modelling of wind waves in coastal areas is also reviewed. Research issues in the area of coastal modelling for flood defence are indicated.

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Keywords

Risk Management, Models, Statistical, Climate, Oceans and Seas, Rain, Wind, Risk Assessment, Disasters, Water Movements, Computer Simulation, Seawater, Rheology, Netherlands

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
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