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dc.contributor.authorPETROLIAGKIS THOMASen_GB
dc.date.accessioned2018-07-20T00:18:17Z-
dc.date.available2018-07-18en_GB
dc.date.available2018-07-20T00:18:17Z-
dc.date.created2018-07-17en_GB
dc.date.issued2018en_GB
dc.date.submitted2018-06-17en_GB
dc.identifier.citationNATURAL HAZARDS AND EARTH SYSTEM SCIENCES vol. 18 no. 7 p. 1937-1955en_GB
dc.identifier.issn1561-8633en_GB
dc.identifier.urihttps://www.nat-hazards-earth-syst-sci.net/18/1937/2018/en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC112325-
dc.description.abstractThe possibility of utilising statistical dependence methods in coastal flood hazard calculations is investigated since flood risk is rarely a function of just one source variable but usually two or more. Source variables in most cases are not independent as they may be driven by the same weather event, so their dependence, which is capable of modulating their joint return period, has to be estimated before the calculation of their joint probability. Dependence and correlation may differ substantially from one another since dependence is focused heavily on tail (extreme) percentiles. The statistical analysis between surge and wave is performed over 32 river ending points along European coasts. Two sets of almost 35-year hindcasts of storm surge and wave height were adopted and results are presented by means of analytical tables and maps referring to both correlation and statistical dependence values. Further, the top 80 compound events were defined for each river ending point. Their frequency of occurrence was found to be distinctly higher during the cold months while their main low-level flow characteristics appear to be mainly in harmony with the transient nature of storms and their tracks. Overall, significantly strong values of positive correlations and dependencies were found over the Irish Sea, English Channel, south coasts of the North Sea, Norwegian Sea and Baltic Sea, with compound events taking place in a zero-lag mode. For the rest, mostly positive moderate dependence values were estimated even if a considerable number of them had correlations of almost zero or even negative value.en_GB
dc.description.sponsorshipJRC.E.1-Disaster Risk Managementen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherCOPERNICUS GESELLSCHAFT MBHen_GB
dc.relation.ispartofseriesJRC112325en_GB
dc.titleEstimations of statistical dependence as joint return period modulator of compound events. Part I: storm surge and wave height.en_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.5194/nhess-18-1937-2018en_GB
JRC Directorate:Space, Security and Migration

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