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