Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/8557
Title: Classification of annual precipitations and identification of homogeneous regions using K-Means method [pp. 6037-6050]
Other Titles: K-ortalamalar yöntemi ile yillik yaǧişlarin siniflandirilmasi ve homojen bölgelerin belirlenmesi [pp. 6037-6050]
Authors: Firat, M.
Dikbaş, Fatih
Koç, Abdullah Cem
Güngör, Mahmud
Keywords: Annual precipitation
Clustering
Homogeneity test
K-Means method
Clustering analysis
Clustering methods
Data sets
Euclidean distance
Feature vectors
Homogeneous regions
Hydrological variables
K-means method
Number of clusters
Regional homogeneity
Total precipitation
YAG
Climate change
Cluster analysis
Abstract: Reliable and correct estimation of hydrological and meteorological processes is one of the major problems in regions with insufficient hydrologic information and data. The classification of the hydrological variables and determination of homogeneous regions are the most important steps of regional studies. The purpose of this study is to classify the annual total precipitation series and to identify the homogeneous regions by K-Means method. The K-means method, which is the simplest and most commonly used clustering method, divides a data set into clusters by minimizing the sum of the Euclidean distance between each feature vector and its closest cluster centre. The annual precipitation records and longitude, latitude and altitude values obtained of 188 stations operated by the National Meteorology Works (DMI) in Turkey were considered for clustering analysis. The number of clusters was determined as 7 by means of clustering analysis. Moreover, the regional homogeneity test was applied for testing the homogeneity of regions.
URI: https://hdl.handle.net/11499/8557
ISSN: 1300-3453
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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