Assessment of Time Series Models for Mean Discharge Modeling and Forecasting in a Sub-Basin of the Paranaíba River, Brazil

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

Bibliographic Details
Main Authors: Gabriela Emiliana de Melo e Costa, Frederico Carlos M. de Menezes Filho, Fausto A. Canales, Maria Clara Fava, Abderraman R. Amorim Brandão, Rafael Pedrollo de Paes
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Hydrology
Subjects:
SARIMA
SARIMAX
ARIMA
streamflow forecast
hydrological modeling
Online Access:https://www.mdpi.com/2306-5338/10/11/208

Internet

https://www.mdpi.com/2306-5338/10/11/208

Similar Items