Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study

Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study

The impact of the suspended sediment load (SSL) on environmental health, agricultural operations, and water resources planning, is significant. The deposit of SSL restricts the streamflow region, affecting aquatic life migration and finally causing a river course shift. As a result, data on suspende...

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Bibliographic Details
Main Authors: Mohammed Falah Allawi, Sadeq Oleiwi Sulaiman, Khamis Naba Sayl, Mohsen Sherif, Ahmed El-Shafie
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Sedimentation
Artificial intelligence
LSTM model
Prediction model
Tropical region
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023057146

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http://www.sciencedirect.com/science/article/pii/S2405844023057146

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