Evaluation of combined use of drought indices in the case of Konya Closed Basin

ArticleAçık Erişim

Özet

The climate covers a series of events that deeply affect human life. Today, one of the most effective of these is climate change. As drought is cited as the most important one of the consequences of climate change, it is important to examine it with various. In this study, the drought status of the study area are located statistically calculated and evaluated 4 drought indices. At the same time, factor analysis and validity-reliability analysis were conducted to test the computability of the indices used in the study as a single index and to determine the reliability of the operations. While using exploratory factor analysis, Kaiser-Meyer-Olkin (KMO) test and Bartlett test for factor analysis; Cronbach's alpha coefficient was used for reliability analysis. In our study, K-means cluster analysis method was performed to determine the cut-off values of indices. According to the cluster analysis, new clusters were created and ANOVA test was conducted to determine the difference between clusters. Copyright © 2021 Inderscience Enterprises Ltd.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/13456Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1504/ijgw.2021.112895Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorDalkilic, Huseyin Yildirim
dc.contributor.authorBayçinar, Metin
dc.contributor.authorSamui, Pijush
dc.date.accessioned2026-10-18T20:28:17.236923351Z
dc.date.available2026-10-18T20:28:17.236923351Z
dc.date.issued2021
dc.description.abstractThe climate covers a series of events that deeply affect human life. Today, one of the most effective of these is climate change. As drought is cited as the most important one of the consequences of climate change, it is important to examine it with various. In this study, the drought status of the study area are located statistically calculated and evaluated 4 drought indices. At the same time, factor analysis and validity-reliability analysis were conducted to test the computability of the indices used in the study as a single index and to determine the reliability of the operations. While using exploratory factor analysis, Kaiser-Meyer-Olkin (KMO) test and Bartlett test for factor analysis; Cronbach's alpha coefficient was used for reliability analysis. In our study, K-means cluster analysis method was performed to determine the cut-off values of indices. According to the cluster analysis, new clusters were created and ANOVA test was conducted to determine the difference between clusters. Copyright © 2021 Inderscience Enterprises Ltd.
dc.identifier.doi10.1504/ijgw.2021.112895
dc.identifier.eissn1758-2091
dc.identifier.endpage190
dc.identifier.issn1758-2083
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85100710911
dc.identifier.startpage169
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/13456
dc.identifier.volume23
dc.identifier.wosWOS:000617677900006
dc.language.isoen
dc.publisherInderscience Publishers
dc.relation.ispartofInternational Journal of Global Warming
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAI
dc.subjectANOVA
dc.subjectAridity index
dc.subjectCluster analysis
dc.subjectDrought
dc.subjectFactor analysis
dc.subjectKaiser-Meyer-Olkin
dc.subjectKMO
dc.subjectPercentage of normal index
dc.subjectPNI
dc.subjectReliability analysis
dc.subjectSPEI
dc.subjectSPI
dc.subjectStandardised Precipitation Index
dc.subjectStandardised precipitation-Evapotranspiration Index
dc.titleEvaluation of combined use of drought indices in the case of Konya Closed Basin
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus7
rdl.citation.wos5
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)