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Cluster Analysis Of Streamflow Data Over Turkey
Titre : Cluster Analysis Of Streamflow Data Over Turkey
Türkiye Akım Verilerinin Küme Analizi
Auteur : Demirel, Mehmet Cüneyd
Université de soutenance : İstanbul Teknik Üniversitesi
Grade : Master of Science (MS) 2004
Résumé
n this study we applied cluster analysis to the task of objectively classifying streamflow data over Turkey into regions containing the similar streamflow patterns. The performances of the three standardization techniques were also tested and standardizing by range performed better than standardizing with the zero mean and unit variance. Clustering was carried out using Ward’s method which became prominent in atmospheric researches with squared Euclidean dissimilarity measures on 80 streamflow stations with natural flow regimes where no intensive river regulation has occurred. Using cluster analysis we investigated that the zones having similar streamflow pattern can not be overlapped with the conventional climate zones of Turkey but streamflow regions are coherent with climate zones of Turkey redefined by applying CA to total precipitation data and homogenous streamflow zones of Turkey defined by applying Principal Component Analysis (PCA). Use of the regional streamflow information generated in this manner can significantly improve the accuracy of stream predictions.
Mots clés : Küme analizi (Cluster analysis) Ward yöntemi Türkiye Akım Cluster Analysis Ward’s method Turkey Streamflow
Page publiée le 25 novembre 2016