Classical and innovative-Şen trend assessment under climate change perspective

dc.authorid0000-0003-3108-8167
dc.authorid0000-0003-2754-5492
dc.contributor.authorDabanlı, İsmail
dc.contributor.authorŞen, Zekai
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:36:40Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:36:40Z
dc.date.issued2018
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractThe main purpose of this paper is to provide a comparison between the innovative-Şen and classical trend methods. Additionally, significance levels at ±5% and ±10% levels are suggested for the first time on the innovative-Şen trend template, which works with the categorisation of given data into a set of classes such as 'low', 'medium' and 'high' values. However, the classical approaches consider holistic monotonic trend identification without categorisation. Classical trend analyses methods, Mann-Kendall trend test coupled with, Şen's slope and the classical regression line, are based on a set of restrictive assumptions, but the innovative-Şen approach does not have assumptions. Application of classical methods do not present significant trend component, however, the innovative-Şen trend method provides possible trend components in each cluster within the significance limits. Although the classical approaches do not indicate a significant trend, but innovative-Şen approach provides some categorically significant trends in detail and quantitative information.
dc.identifier.citationDabanlı, İ. ve Şen, Z. (2018). Classical and innovative-Şen trend assessment under climate change perspective. International Journal of Global Warming, 15(1), 19-37. https://dx.doi.org/10.1504/IJGW.2018.091951
dc.identifier.doi10.1504/IJGW.2018.091951
dc.identifier.endpage37
dc.identifier.issn1758-2083
dc.identifier.issue1
dc.identifier.scopusqualityQ3
dc.identifier.startpage19
dc.identifier.urihttps://hdl.handle.net/20.500.12511/1226
dc.identifier.urihttps://dx.doi.org/10.1504/IJGW.2018.091951
dc.identifier.volume15
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInderscience Publishers
dc.relation.ispartofInternational Journal of Global Warmingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAkarcay
dc.subjectCategory
dc.subjectClimate Change
dc.subjectInnovative-Şen
dc.subjectSignificance
dc.subjectTrend
dc.titleClassical and innovative-Şen trend assessment under climate change perspective
dc.typeArticle

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