Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Data-Driven Approaches for Improved Evapotranspiration Modelling with Limited Data
Považanová, Barbora ; Čistý, Milan
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.
Influence of Reduction of Habitat Suitability Curves on Aquatic Habitat Suitability
Doláková, Gréta ; Macura, Viliam ; Škrinár, Andrej ; Čistý, Milan
Previous research into the aquatic monitoring of microhabitat fish preferences in Slovakia contains detailed valuable hydro-morphological, topographic, and ichthyological measurements for complex analysis. Consequent hydrological modeling of the database compares biotic parameters, represented by habitat suitability curves, and abiotic parameters of streams, to investigate the fish preferences of aquatic microhabitats. The research discusses an option if subsequent influence of reduction of habitat suitability curves on aquatic habitat suitability is justified to improve methodology of habitat assessment by regression model. The research creates an optimal regression relationship to determine the degree of habitat suitability curves reduction on mountain and piedmont streams in Slovakia.

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