Data-Driven Approaches for Improved Evapotranspiration Modelling with Limited Data

but.event.date25.01.2024cs
but.event.titleJuniorstav 2024cs
dc.contributor.authorPovažanová, Barbora
dc.contributor.authorČistý, Milan
dc.date.accessioned2024-05-07T08:53:26Z
dc.date.available2024-05-07T08:53:26Z
dc.date.issued2024-05-07cs
dc.description.abstractThis study uses data-driven methods to estimate FAO Penman-Monteith Reference Evapotranspiration (ETo) using only temperature data. Reference evapotranspiration, as an important variable for estimating actual evapotranspiration, is crucial in various water management tasks. However, some data for the Penman-Monteith equation is often unavailable. Thus, the need to use alternative methods emerges. The research shows DDM's effectiveness particularly when feature engineering was used. The study tested standard equations (Hargreaves Samani) and a proposed CatBOOST model with feature engineering to model ETo. The CatBOOST model achieved a higher R2 of 0.94 than the standard equations' R2 of 0.86. This result underscores DDM’s potential to refine evapotranspiration modelling for wide applications in water resource management, irrigation, and agriculture.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.2024.24104en
dc.identifier.isbn978-80-86433-83-7
dc.identifier.urihttps://hdl.handle.net/11012/245469
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.subjectReference evapotranspirationen
dc.subjectdata-driven methodsen
dc.subjectminimal input dataen
dc.titleData-Driven Approaches for Improved Evapotranspiration Modelling with Limited Dataen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta stavebnícs
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