Using machine learning methods for supporting GR2M model in runoff estimation in an ungauged basin

Using machine learning methods for supporting GR2M model in runoff estimation in an ungauged basin

Abstract Estimating monthly runoff variation, especially in ungauged basins, is inevitable for water resource planning and management. The present study aimed to evaluate the regionalization methods for determining regional parameters of the rainfall-runoff model (i.e., GR2M model). Two regionalizat...

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Autores principales: Pakorn Ditthakit, Sirimon Pinthong, Nureehan Salaeh, Fadilah Binnui, Laksanara Khwanchum, Quoc Bao Pham
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/59617bb324cc47ca801293a763e2af9b
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