Extreme value innovative trend analysis methodology

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dc.authorid0000-0003-2754-5492
dc.contributor.authorŞen, Zekai
dc.date.accessioned2022-11-17T07:38:35Z
dc.date.available2022-11-17T07:38:35Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractThe main concern of the article is to determine the trend analyses of upper and lower extreme values separately, apart from the classical central trend. The innovative trend analysis (ITA) modification is adapted for extreme value trend analysis using one standard deviation level from the arithmetic mean value. Extreme value trends emerge along completely different monotonous lines. The application of the proposed methodology is presented for the annual total rainfall time series of seven meteorological stations from each geographical and climatological regions of Turkey. In the future, it is recommended to use only the classical central trend extreme value trend analyses for refined forecasts.
dc.identifier.citationŞen, Z. (2022). Extreme value innovative trend analysis methodology. International Journal of Global Warming, 28(3), 297-310. https://doi.org/10.1504/IJGW.2022.126674
dc.identifier.doi10.1504/IJGW.2022.126674
dc.identifier.endpage310
dc.identifier.issn1758-2083
dc.identifier.issn1758-2091
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85142536155
dc.identifier.scopusqualityQ3
dc.identifier.startpage297
dc.identifier.urihttps://doi.org/10.1504/IJGW.2022.126674
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9980
dc.identifier.volume28
dc.identifier.wos000877706900006en_US
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorŞen, Zekai
dc.language.isoen
dc.publisherInderscience Enterprises Limited
dc.relation.ispartofInternational Journal of Global Warmingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAverage
dc.subjectDrought
dc.subjectExtreme
dc.subjectFlood
dc.subjectHazard
dc.subjectLower
dc.subjectRainfall
dc.subjectRisk
dc.subjectSlope
dc.subjectTrend
dc.subjectUpper
dc.titleExtreme value innovative trend analysis methodology
dc.typeArticle

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