Correlation models in flood risk analysis

F.L.M. Diermanse and C.P.M. Geerse

Reliability Engineering and System Safety, 2012, vol. 105, issue C, 64-72

Abstract: Statistical dependence among random hydraulic variables generally stems from a common meteorological cause. Usually, this dependence increases the probability of occurrence of floods. Therefore, in many (potential) applications in flood risk analysis there is a need for techniques that properly describe the statistical dependence among random variables. This study makes an inventory of existing bivariate correlation models as available from international literature and/or ‘Dutch practice’ in the design and testing of flood defence structures. Differences in correlation structures are described and quantified. Subsequently, their practical applicability is tested in two case studies.

Keywords: Correlation; Flood risk; Statistical transformations (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:105:y:2012:i:c:p:64-72

DOI: 10.1016/j.ress.2011.12.004

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