Drought analysis based on nonparametric multivariate standardized drought index in the Seyhan River Basin

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dc.authorid0009-0003-7404-281X
dc.authorid0000-0002-4531-2476
dc.contributor.authorTerzi, Tolga Barışen_US
dc.contributor.authorÖnöz, Bihraten_US
dc.date.accessioned2025-08-28T12:58:59Z
dc.date.available2025-08-28T12:58:59Z
dc.date.issued2025-05
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Civil Engineeringen_US
dc.descriptionOpen access funding provided by the Scientific and Technological Research Council of T\u00FCrkiye (T\u00DCB\u0130TAK). Not applicable.en_US
dc.description.abstractDrought is a detrimental natural hazard that is a threat to the social and ecological aspects of life. Unlike other natural hazards, drought occurs slowly and gradually, making it difficult to detect its formation, leading to severe consequences in the affected area. Therefore, precise and reliable monitoring of drought is crucial to implement effective drought mitigation strategies. Drought indices are significant tools for drought monitoring; single variable indices are quite frequently used in the literature to assess drought conditions. Although these indices are generally accurate at characterizing the specific type of drought they were developed for, they fail to provide a comprehensive representation of drought conditions. Hence, this study applies a nonparametric multivariate standardized drought index (MSDI) that integrates meteorological and hydrological drought to investigate the dynamics of drought events within the Seyhan River Basin (SRB). Trend analyses were conducted to detect any directional changes in the drought patterns within the SRB. Additionally, this study examined the potential effects of El Nino-Southern Oscillation events on the MSDI series to determine their impact on drought conditions in the SRB. The results indicate that the MSDI outperforms the single variable indices in characterizing drought conditions within the basin. The calculations conducted for 5 different time scales 1, 3, 6, 9 and 12-months showed satisfactory results in multivariate analysis of drought. Upon examining the trend analyses, MSDI series showed an insignificant negative trend in all stations within the SRB. The MSDI series was strongly influenced by Nino 3.4 and Arctic Oscillation (AO) indices while sunspot activities had a relatively weak impact on the MSDI series.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumuen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationTerzi, T. B. & Önöz, B. (2025). Drought analysis based on nonparametric multivariate standardized drought index in the Seyhan River Basin. Natural Hazards, 121(9), 11051-11078. doi:https://doi.org/10.1007/s11069-025-07234-yen_US
dc.identifier.doi10.1007/s11069-025-07234-y
dc.identifier.endpage11078
dc.identifier.issn0921-030X
dc.identifier.issue9
dc.identifier.scopus2-s2.0-105001835085
dc.identifier.scopusqualityQ1
dc.identifier.startpage11051
dc.identifier.urihttps://hdl.handle.net/11729/6676
dc.identifier.urihttps://doi.org/10.1007/s11069-025-07234-y
dc.identifier.volume121
dc.identifier.wosWOS:001458993700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorÖnöz, Bihraten_US
dc.institutionauthorid0000-0002-4531-2476
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringer Science and Business Media B.V.en_US
dc.relation.ispartofNatural Hazardsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDroughten_US
dc.subjectIntegrated drought indexen_US
dc.subjectMultivariate standardized drought indexen_US
dc.subjectStandardized precipitation indexen_US
dc.subjectStandardized streamflow indexen_US
dc.subjectSeyhan Basinen_US
dc.subjectTurkeyen_US
dc.subjectArctic Oscillationen_US
dc.subjectDrought stressen_US
dc.subjectEl Nino-Southern Oscillationen_US
dc.subjectHazard assessmenten_US
dc.subjectMitigationen_US
dc.subjectMultivariate analysisen_US
dc.subjectPerformance assessmenten_US
dc.subjectPrecipitation assessmenten_US
dc.subjectPrecisionen_US
dc.subjectRegional climateen_US
dc.subjectReliability analysisen_US
dc.subjectStreamflowen_US
dc.subjectHydrological droughten_US
dc.subjectPrecipitation indexen_US
dc.subjectLoess plateauen_US
dc.subjectDeficit indexen_US
dc.subjectProbabilityen_US
dc.subjectChallengesen_US
dc.subjectFrequencyen_US
dc.subjectFrameworken_US
dc.subjectForecastsen_US
dc.titleDrought analysis based on nonparametric multivariate standardized drought index in the Seyhan River Basinen_US
dc.typeArticleen_US
dspace.entity.typePublicationen_US

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