Assessment of time series models for mean discharge modeling and forecasting in a sub-basin of the paranaíba river, Brazil

Stochastic modeling to forecast hydrological variables under changing climatic conditions is essential for water resource management and adaptation planning. This study explores the applicability of stochastic models, specifically SARIMA and SARIMAX, to forecast monthly average river discharge in a...

Full description

Autores:
Melo Costa, Gabriela Emiliana de
Menezes Filho, Frederico Carlos M. de
Canales, Fausto A.
Fava, Maria Clara
Amorim Brandão, Abderraman R.
Pedrollo de Paes, Rafael
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/13383
Acceso en línea:
https://hdl.handle.net/11323/13383
https://repositorio.cuc.edu.co/
Palabra clave:
SARIMA
SARIMAX
ARIMA
Streamflow forecast
Hydrological modeling
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)