A decomposition and multi-objective evolutionary optimization model for suspended sediment load prediction in rivers
Suspended sediment load (SSL) estimation is essential for both short- and long-term water resources management. Suspended sediments are taken into account as an important factor of the service life of hydraulic structures such as dams. The aim of this research is to estimat SSL by coupling intrinsic...
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| Autores principales: | , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Taylor & Francis Group
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/3506676583014db5aef9c27646b382d3 |
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