Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling

Accurately simulating river discharge remains a challenge. Hybrid models combining hydrological models with machine learning improve discharge simulation and offer better interpretability than standalone machine learning models. However, the commonly used models are deterministic. This study introdu...

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Vydané v:	Results in engineering Ročník 25; s. 104079
Hlavní autori:	Houénafa, Sianou Ezéckiel, Johnson, Olatunji, Ronoh, Erick K., Moore, Stephen E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2025 Elsevier
Predmet:	Hybrid models HyMoLAP Machine learning Stochastic hydrological model Uncertainties HyMoLAP Uncertainties Hybrid models Stochastic hydrological model Machine learning
ISSN:	2590-1230, 2590-1230
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