Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers

Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers

The rising incidence of droughts in specific global regions in recent years, primarily attributed to global warming, has markedly increased the demand for reliable and accurate streamflow estimation. Streamflow estimation is essential for the effective management and utilization of water resources,...

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Bibliographic Details
Main Authors: Mohammed Achite, Okan Mert Katipoğlu, Veysi Kartal, Metin Sarıgöl, Muhammad Jehanzaib, Enes Gül
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Atmosphere
Subjects:
deep learning
drought
soft computing
GMDH
streamflow
prediction
Online Access:https://www.mdpi.com/2073-4433/16/1/106
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