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dc.contributor.authorAlmazroui, Mansour
dc.contributor.authorŞen, Zekai
dc.date.accessioned2021-03-02T05:40:35Z
dc.date.available2021-03-02T05:40:35Z
dc.date.issued2020en_US
dc.identifier.citationAlmazroui, M. ve Şen, Z. (2020). Trend analyses methodologies in hydro-meteorological records. Earth Systems and Environment, 4(4), 713-738. https://dx.doi.org/10.1007/s41748-020-00190-6en_US
dc.identifier.issn2509-9426
dc.identifier.issn2509-9434
dc.identifier.urihttps://dx.doi.org/10.1007/s41748-020-00190-6
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6591
dc.description.abstractIn recent years, global warming and climate change impacts on hydro-meteorological variables and water resources triggered extensive focus on trend analyses. Especially, in historical records and climate change model scenario projections, trend feature searches help for better predictions prior to mitigation and adaptation activities. Each trend identification technique has a set of restrictive assumptions and limitations, but they are not cared for by many researchers. The major problem with trend research is that the researchers do not care for the basic assumptions of any methodology but use ready software to solve their problems. Among these assumptions, the most significant ones are the normal (Gaussian) probability distribution function (PDF) and serially independent structure of a given time series. It is the main objective of this review paper to present each trend identification methodology including classical ones with the new alternatives so that any researcher in need of trend analysis can have concise and clear interpretations for the choice of the most convenient trend method. In general, parametric, non-parametric, classical and innovative trend methods are explained comparatively including the linear regression, Mann-Kendall (MK) trend test with Sen slope estimation, Spearman's rho, innovative trend analysis (ITA), partial trend analysis (PTA) and crossing trend analysis (CTA). Pros and cons are given for each methodology. In addition, for improvement of serial independence requirement of the classical trend analyses, methods are introduced briefly by pre- and over-whitening processes. Finally, a set of recommendations is suggested for future research possibilities.en_US
dc.language.isoengen_US
dc.publisherSpringer International Publishing AGen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectClimateen_US
dc.subjectHydrologyen_US
dc.subjectInnovativeen_US
dc.subjectTrenden_US
dc.subjectVariabilityen_US
dc.subjectWhiteningen_US
dc.titleTrend analyses methodologies in hydro-meteorological recordsen_US
dc.typereviewen_US
dc.relation.journalEarth Systems and Environmenten_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.authorid0000-0003-2754-5492en_US
dc.identifier.volume4en_US
dc.identifier.issue4en_US
dc.identifier.startpage713en_US
dc.identifier.endpage738en_US
dc.relation.publicationcategoryDiğeren_US
dc.identifier.doi10.1007/s41748-020-00190-6en_US


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