Successive-Station Streamflow Prediction and Precipitation Uncertainty Analysis in the Zarrineh River Basin Using a Machine Learning Technique

Successive-Station Streamflow Prediction and Precipitation Uncertainty Analysis in the Zarrineh River Basin Using a Machine Learning Technique

Precise forecasting of streamflow is crucial for the proper supervision of water resources. The purpose of the present investigation is to predict successive-station streamflow using the Gated Recurrent Unit (GRU) model and to quantify the impact of input information (i.e., precipitation) uncertaint...

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Bibliographic Details
Main Authors: Mahdi Nakhaei, Fereydoun Ghazban, Pouria Nakhaei, Mohammad Gheibi, Stanisław Wacławek, Mehdi Ahmadi
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Water
Subjects:
GLUE
GRU
input data uncertainty
Zarrineh River
precipitation
Online Access:https://www.mdpi.com/2073-4441/15/5/999

Internet

https://www.mdpi.com/2073-4441/15/5/999

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