Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models
Accurate modeling and prediction of suspended sediment load (SSL) in rivers have an important role in environmental science and design of engineering structures and are vital for watershed management. Since different parameters such as rainfall, temperature, and discharge with the different lag time...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Springer
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/28830/ |
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