Arabian Journal for Science and Engineering

, Volume 38, Issue 6, pp 1313–1319 | Cite as

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

  • Fatih Dikbas
  • Mahmut Firat
  • A. Cem Koc
  • Mahmud Gungor
Research Article - Civil Engineering


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.


Cluster analysis K-Means Annual maximum flow Homogeneous region 


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Copyright information

© King Fahd University of Petroleum and Minerals 2013

Authors and Affiliations

  • Fatih Dikbas
    • 1
  • Mahmut Firat
    • 2
  • A. Cem Koc
    • 1
  • Mahmud Gungor
    • 1
  1. 1.Civil Engineering Department, Faculty of EngineeringPamukkale UniversityDenizliTurkey
  2. 2.Civil Engineering Department, Faculty of EngineeringInonu UniversityMalatyaTurkey

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