Název: Data-Driven Approaches for Improved Evapotranspiration Modelling with Limited Data
Autoři: Považanová, Barbora ; Čistý, Milan
Typ dokumentu: Příspěvky z konference
Jazyk: eng
Nakladatel: Vysoké učení technické v Brně,Fakulta stavební
Abstrakt: This 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.
Klíčová slova: data-driven methods; minimal input data; Reference evapotranspiration
Zdrojový dokument: Juniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering, ISBN 978-80-86433-83-7

Instituce: Vysoké učení technické v Brně (web)
Informace o dostupnosti dokumentu: Plný text je dostupný v Digitální knihovně VUT.
Původní záznam: https://hdl.handle.net/11012/245469

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-614392