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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Bibliografiske detaljer

Principais autores:	Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2025-03-01
Serier:	Results in Engineering
Fag:	Stochastic hydrological model HyMoLAP Machine learning Hybrid models Uncertainties
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2590123025001677
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