Drought Severity Assessment Based on Bivariate Probability Analysis

Vangelis, H; Spiliotis, M; Tsakiris, G

dc.contributor.author	Vangelis, H	en
dc.contributor.author	Spiliotis, M	en
dc.contributor.author	Tsakiris, G	en
dc.date.accessioned	2014-03-01T01:35:31Z
dc.date.available	2014-03-01T01:35:31Z
dc.date.issued	2011	en
dc.identifier.issn	0920-4741	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21098
dc.subject	Drought indices	en
dc.subject	Drought severity assessment	en
dc.subject	Reconnaissance drought index	en
dc.subject	Preparedness planning	en
dc.subject	Bivariate analysis	en
dc.subject	Drought return period	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Water Resources	en
dc.subject.other	INDEX	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.language	English	en
heal.publicationDate	2011	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.	en
heal.publisher	SPRINGER	en
heal.journalName	WATER RESOURCES MANAGEMENT	en
dc.identifier.doi	10.1007/s11269-010-9704-y	en
dc.identifier.isi	ISI:000285469200019	en
dc.identifier.volume	25	en
dc.identifier.issue	1	en
dc.identifier.spage	357	en
dc.identifier.epage	371	en