ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data

ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data

Streamflow prediction plays a vital role in water resources planning in order to understand the dramatic change of climatic and hydrologic variables over different time scales. In this study, we used machine learning (ML)-based prediction models, including Random Forest Regression (RFR), Long Short-...

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Bibliographic Details
Main Authors: Pouya Hosseinzadeh, Ayman Nassar, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Hydrology
Subjects:
streamflow prediction
machine learning
time series regression
upper colorado river basin
Online Access:https://www.mdpi.com/2306-5338/10/2/29

Internet

https://www.mdpi.com/2306-5338/10/2/29

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