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

被引：29

作者：

Dikbas, Fatih ^{[1
]}

Firat, Mahmut ^{[2
]}

Koc, A. Cem ^{[1
]}

Gungor, Mahmud ^{[1
]}

机构：

[1] Pamukkale Univ, Dept Civil Engn, Fac Engn, Denizli, Turkey

[2] Inonu Univ, Dept Civil Engn, Fac Engn, Malatya, Turkey

来源：

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2013年 / 38卷 / 06期

基金：

美国国家科学基金会;

关键词：

Cluster analysis; K-Means; Annual maximum flow; Homogeneous region; FLOOD FREQUENCY-ANALYSIS; DRAINAGE BASINS; CLASSIFICATION;

D O I：

10.1007/s13369-013-0542-0

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：1313 / 1319

页数：7

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