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...
- 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)