Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey

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dc.authoridHIRCA, Tugce/0000-0002-5694-767X
dc.authoridNiazkar, Majid/0000-0002-5022-1026
dc.contributor.authorHirca, Tugce
dc.contributor.authorTurkkan, Gokcen Eryilmaz
dc.contributor.authorNiazkar, Majid
dc.date.accessioned2024-10-04T18:48:18Z
dc.date.available2024-10-04T18:48:18Z
dc.date.issued2022
dc.departmentBayburt Üniversitesien_US
dc.description.abstractExamining historical variations of hydroclimatic variables can provide crucial information about changes of water resources in a water cycle. In this study, the Mann-Kendall (MK) and Innovative Polygon Trend Analysis (IPTA) methods were applied to 56-year precipitation data collected at 8 measuring stations. These stations are located in Eastern Black Sea Basin (EBSB), which has a significant amount of annual precipitation and hydroelectric potential in Turkey. This study has two objectives: (1) investigating possible changes in the monthly precipitation and (2) comparing the results achieved by a classical (MK) and one of the latest trend analysis methods presented in the literature (IPTA). Based on the results, MK achieved no trend for most of months, while it reached an increasing trend for March at most of the stations. Likewise, IPTA determined an increasing trend for March precipitation. However, an increasing/decreasing trend was obtained by IPTA for most of the months and stations. In other words, comparing the trend analysis results obtained by IPTA and MK indicates a significant discrepancy between the numbers of months with detected trends primarily because the former is relatively more sensitive in trend identification. To be more precise, IPTA and MK determined trends in approximately 81.25% and 12.5% of all months, respectively. Furthermore, the former identified quite the same trends in every month which the latter reported a trend. Moreover, the polygon of the mean and standard deviation graphs developed by IPTA provides a year cycle, which brings about useful information for water utility sectors and decision makers of the study area. Finally, the findings of this study contribute to a large amount of research that attempts to explore spatio-temporal variations of hydroclimatic variables around the globe not only to enhance humans' knowledge about changes in a water cycle but also assess climate change impacts.en_US
dc.identifier.doi10.1007/s00704-021-03837-0
dc.identifier.endpage667en_US
dc.identifier.issn0177-798X
dc.identifier.issn1434-4483
dc.identifier.issue1-2en_US
dc.identifier.scopus2-s2.0-85119298007en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage651en_US
dc.identifier.urihttps://doi.org/10.1007/s00704-021-03837-0
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3011
dc.identifier.volume147en_US
dc.identifier.wosWOS:000718090000001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Wienen_US
dc.relation.ispartofTheoretical and Applied Climatologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRainfall Trendsen_US
dc.subjectTemporal Trendsen_US
dc.subjectMann-Kendallen_US
dc.subjectTemperatureen_US
dc.subjectHomogeneityen_US
dc.subjectVariabilityen_US
dc.subjectVariablesen_US
dc.subjectTestsen_US
dc.titleApplications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkeyen_US
dc.typeArticleen_US

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