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

Content Provider	Springer Nature Link
Author	Dikbas, Fatih Firat, Mahmut Koc, A. Cem Gungor, Mahmud
Copyright Year	2013
Abstract	The 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.
Starting Page	1313
Ending Page	1319
Page Count	7
File Format	PDF
ISSN	13198025
Journal	Arabian Journal for Science and Engineering
Volume Number	38
Issue Number	6
e-ISSN	21914281
Language	English
Publisher	Springer-Verlag
Publisher Date	2013-02-15
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cluster analysis K-Means Annual maximum flow Homogeneous region Engineering Science
Content Type	Text
Resource Type	Article

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