Original title: Clustering of a Runoff Regime in Slovakia Using the PCA Method
Authors: Sabová, Zuzana ; Liová, Anna ; Kohnová, Silvia
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně,Fakulta stavební
Abstract: A new scheme has been created for pooling data on the long-term average monthly runoff in Slovakia using information from 57 gauging stations from 1991 to 2020. A statistical analysis has determined the optimal number of clusters from the normalised data, and the Principal Component Analysis (PCA) method and K-means clustering were used to group basins into five pooling groups. Finally, the critical characteristics of these pooling groups were determined, and a typical regime was determined.
Keywords: average monthly discharges; K-means clustering; PCA method; pooling groups; runoff regime
Host item entry: Juniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering, ISBN 978-80-86433-83-7

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/245467

Permalink: http://www.nusl.cz/ntk/nusl-614343


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