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...

Description complète

Détails bibliographiques

Auteurs principaux:	Antonio Duarte Marcos Junior, Cleiton da Silva Silveira, José Micael Ferreira da Costa, Suellen Teixeira Nobre Gonçalves
Format:	Artigo
Langue:	Inglês
Publié:	Associação Brasileira de Recursos Hídricos 2024-06-01
Collection:	RBRH
Sujets:	Hydrological models Machine learning Streamflow forecast SMAP XGBoost Rainfall forecasting
Accès en ligne:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312024000100211&lng=en&tlng=en
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!