Performing k-means analysis to drought principal components of Turkish rivers
In this study, the principal component analysis (here after PCA) was applied to 31- year (1964-1994) monthly minimum streamflow data from 23 catchments in Turkey. Ephemeral flows in winter are associated with non melted snow or even ice and summer low flows are related to the semi-arid climate of Turkey with topography, leading high temperature in lowland catchments. The PC matrix (80x2), explaining the highest variance of the main data, was chosen as an input to k-means routine to define drought regions. The first 4 PCs explains more than 80% of the total variance, the first PC presents 52.44% ...
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