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Drought Severity Assessment Based on Bivariate Probability Analysis

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dc.contributor.author Vangelis, H en
dc.contributor.author Spiliotis, M en
dc.contributor.author Tsakiris, G en
dc.date.accessioned 2014-03-01T01:59:43Z
dc.date.available 2014-03-01T01:59:43Z
dc.date.issued 2010 en
dc.identifier.issn 09204741 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29018
dc.subject Bivariate analysis en
dc.subject Drought indices en
dc.subject Drought return period en
dc.subject Drought severity assessment en
dc.subject Preparedness planning en
dc.subject Reconnaissance drought index en
dc.subject.other Bivariate analysis en
dc.subject.other Drought indices en
dc.subject.other Drought severity assessment en
dc.subject.other Preparedness planning en
dc.subject.other Reconnaissance drought index en
dc.subject.other Normal distribution en
dc.subject.other Rating en
dc.subject.other Water supply en
dc.subject.other Drought en
dc.subject.other assessment method en
dc.subject.other drought en
dc.subject.other evapotranspiration en
dc.subject.other index method en
dc.subject.other precipitation assessment en
dc.subject.other precipitation intensity en
dc.subject.other probability en
dc.subject.other Greece en
dc.title Drought Severity Assessment Based on Bivariate Probability Analysis en
heal.type journalArticle en
heal.identifier.primary 10.1007/s11269-010-9704-y en
heal.identifier.secondary http://dx.doi.org/10.1007/s11269-010-9704-y en
heal.publicationDate 2010 en
heal.abstract Conventionally drought severity is assessed based on drought indices. Recently the Reconnaissance Drought Index (RDI) was proposed to assess drought severity based on the precipitation to potential evapotranspiration ratio (P/PET). In this paper RDI is studied as a bivariate index under a set of assumptions and simplifications. The paper presents a simple computational procedure for estimating the P/PET ratio for selected reference periods varying from 3 to 12 months, for any return period of drought. Alternatively, based on this procedure, the severity of any drought episode is rationally assessed. A bivariate probability analysis is employed based on the assumption that P and PET values are normally distributed and often negatively correlated. Examples for the application of the proposed procedure are presented using data from several meteorological stations in Greece. It is shown that the assumption of normality of both P and PET holds for long periods at all examined stations. © 2010 Springer Science+Business Media B.V. en
heal.journalName Water Resources Management en
dc.identifier.doi 10.1007/s11269-010-9704-y en
dc.identifier.volume 25 en
dc.identifier.issue 1 en
dc.identifier.spage 357 en
dc.identifier.epage 371 en


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