Clustering of a Runoff Regime in Slovakia Using the PCA Method
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Date
2024-05-07
Authors
Sabová, Zuzana
Liová, Anna
Kohnová, Silvia
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Mark
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Vysoké učení technické v Brně,Fakulta stavební
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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.
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Juniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering, s. 1-10. ISBN 978-80-86433-83-7.
https://juniorstav.fce.vutbr.cz/proceedings2024/
https://juniorstav.fce.vutbr.cz/proceedings2024/
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Peer-reviewed
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en
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© Vysoké učení technické v Brně,Fakulta stavební