Clustering of a Runoff Regime in Slovakia Using the PCA Method

but.event.date25.01.2024cs
but.event.titleJuniorstav 2024cs
dc.contributor.authorSabová, Zuzana
dc.contributor.authorLiová, Anna
dc.contributor.authorKohnová, Silvia
dc.date.accessioned2024-05-07T08:53:26Z
dc.date.available2024-05-07T08:53:26Z
dc.date.issued2024-05-07cs
dc.description.abstractA 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.en
dc.formattextcs
dc.format.extent1-10cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationJuniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering, s. 1-10. ISBN 978-80-86433-83-7.cs
dc.identifier.doi10.13164/juniorstav.2024.24100en
dc.identifier.isbn978-80-86433-83-7
dc.identifier.urihttps://hdl.handle.net/11012/245467
dc.language.isoencs
dc.publisherVysoké učení technické v Brně,Fakulta stavebnícs
dc.relation.ispartofJuniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineeringcs
dc.relation.urihttps://juniorstav.fce.vutbr.cz/proceedings2024/
dc.rights© Vysoké učení technické v Brně,Fakulta stavebnícs
dc.rights.accessopenAccessen
dc.subjectpooling groupsen
dc.subjectPCA methoden
dc.subjectK-means clusteringen
dc.subjectaverage monthly dischargesen
dc.subjectrunoff regimeen
dc.titleClustering of a Runoff Regime in Slovakia Using the PCA Methoden
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta stavebnícs
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