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dc.contributor.authorŞen, Zekâi
dc.contributor.authorŞişman, Eyüp
dc.contributor.authorDabanlı, İsmail
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:35:25Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:35:25Z
dc.date.issued2019en_US
dc.identifier.citationŞen, Z., Şişman, E. ve Dabanlı, İ. (2019). Innovative Polygon Trend Analysis (IPTA) and applications. Journal of Hydrology, 575, 202-210. https://dx.doi.org/10.1016/j.jhydrol.2019.05.028en_US
dc.identifier.issn0022-1694
dc.identifier.issn1879-2707
dc.identifier.urihttps://hdl.handle.net/20.500.12511/766
dc.identifier.urihttps://dx.doi.org/10.1016/j.jhydrol.2019.05.028
dc.description.abstractTrend analysis is continuously in the research and application agenda due to climate change effect searches on various engineering, social, economic, agriculture, environmental and water resources design, management, operation and management studies. Classical trend analysis is useable for holistic trend identification and then statistical quantification as for its intercept and slope. The main drawbacks in these classical approaches are the set of fundamental assumptions such as the serial independence of the given time series, pre-whitening, normality of the data and non-existence of serial comparison among different sections of the same record. This paper explains a non-parametric approach to avoid almost all these difficulties by simple methodology, which is referred as the Innovative Polygonal Trend Analysis (IPTA). Such an approach helps not only to identify the trend in a given series, but also trend transitions between successive sections of the two equal segments from the original hydro-meteorological time series leading to trend polygon, which provides a productive basis for finer interpretation with linguistic and numerical interpretations and inferences from a given time series. The application of the IPTA is presented for rainfall records from New Jersey, USA, Danube River and Göksu River discharge records from Romania and Turkey.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectHydro-Meteorologyen_US
dc.subjectIPTAen_US
dc.subjectPolygon Trenden_US
dc.subjectStochasticen_US
dc.subjectTime Seriesen_US
dc.subjectTrend Analysisen_US
dc.subjectTrend Slopeen_US
dc.titleInnovative Polygon Trend Analysis (IPTA) and applicationsen_US
dc.typearticleen_US
dc.relation.journalJournal of Hydrologyen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, İklim Değişikliği Araştırmaları Araştırma Merkezi (İKLİMER)en_US
dc.authorid0000-0003-3696-9967en_US
dc.authorid0000-0003-3108-8167en_US
dc.identifier.volume575en_US
dc.identifier.startpage202en_US
dc.identifier.endpage210en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.jhydrol.2019.05.028en_US


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