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Combining traditional hydrological models and machine learning for streamflow prediction

ABSTRACT Traditional hydrological models have been widely used in hydrologic studies, providing credible representations of reality. This paper introduces a hybrid model that combines the traditional hydrological model Soil Moisture Accounting Procedure (SMAP) with the machine learning algorithm XGB...

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Guardado en:
Autores principales: Antonio Duarte Marcos Junior, Cleiton da Silva Silveira, José Micael Ferreira da Costa, Suellen Teixeira Nobre Gonçalves
Formato: Artigo
Lenguaje:Inglês
Publicado: Associação Brasileira de Recursos Hídricos 2024-06-01
Colección:RBRH
Materias:
Hydrological models
Machine learning
Streamflow forecast
SMAP
XGBoost
Rainfall forecasting
Acceso en línea:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312024000100211&lng=en&tlng=en
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