Suspended sediment load prediction using sparrow search algorithm-based support vector machine model
Abstract Prediction of suspended sediment load (SSL) in streams is significant in hydrological modeling and water resources engineering. Development of a consistent and accurate sediment prediction model is highly necessary due to its difficulty and complexity in practice because sediment transporta...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-06-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-63490-1 |