Defining Homogeneous Regions for Streamflow Processes in Turkey Using a K-Means Clustering Method

Basit Öğe Kaydı
dc.authoridGÜNGÖR, Mahmud/0000-0001-8019-1430
dc.authoridFIRAT, MAHMUT/0000-0002-8010-9289
dc.authoridKoc, Abdullah Cem/0000-0001-7553-1373
dc.authoridDIKBAS, Fatih/0000-0001-5779-2801
dc.authorwosidDİKBAŞ, Fatih/HJP-4307-2023
dc.authorwosidGÜNGÖR, Mahmud/AAB-3534-2020
dc.authorwosidFIRAT, MAHMUT/ABG-7962-2020
dc.authorwosidKoç, Abdullah Cem/D-1451-2016
dc.authorwosidGüngör, Mahmud/AAA-8524-2021
dc.contributor.authorDikbas, Fatih
dc.contributor.authorFirat, Mahmut
dc.contributor.authorKoc, A. Cem
dc.contributor.authorGungor, Mahmud
dc.date.accessioned2024-08-04T20:37:36Z
dc.date.available2024-08-04T20:37:36Z
dc.date.issued2013
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe major problem in ungauged basins for planning and management of water resources projects is to estimate the flood magnitudes and frequencies. The identification of hydrologically homogeneous regions is one of the most important steps of regional frequency analysis. In this study, K-Means clustering method is applied to classify the maximum annual flows and identify the hydrologically homogeneous groups. For this aim, the annual maximum river flows, coefficient of variation and skewness of annual maximum river flows, latitude and longitude at 117 stations operated by the General Directorate of Electrical Power Resources Survey and Development Administration throughout Turkey are used. The optimal number of groups was determined as seven. Regional homogeneity test based on L-moments method is applied to check homogeneity of these seven regions identified by clustering analysis. The results show that regions defined by K-Means method can be used for regional flood frequency analysis. According to the results, K-Means method is recommended to identify the hydrologically homogeneous regions for regional frequency analysis.en_US
dc.description.sponsorshipTUBITAK (Turkish National Science Foundation) [107Y318]en_US
dc.description.sponsorshipThis research was supported by TUBITAK (Turkish National Science Foundation) under the project number 107Y318. The authors are grateful for editors and anonymous reviewers for their helpful and constructive comments on an earlier draft of this paper.en_US
dc.identifier.doi10.1007/s13369-013-0542-0
dc.identifier.endpage1319en_US
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-84878045493en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1313en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-013-0542-0
dc.identifier.urihttps://hdl.handle.net/11616/96067
dc.identifier.volume38en_US
dc.identifier.wosWOS:000319075100003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofArabian Journal For Science and Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCluster analysisen_US
dc.subjectK-Meansen_US
dc.subjectAnnual maximum flowen_US
dc.subjectHomogeneous regionen_US
dc.titleDefining Homogeneous Regions for Streamflow Processes in Turkey Using a K-Means Clustering Methoden_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu