Suspended sediment modeling using a heuristic regression method hybridized with kmeans clustering
The accurate estimation of suspended sediments (SSs) carries significance in determining the volume of dam storage, river carrying capacity, pollution susceptibility, soil erosion potential, aquatic ecological impacts, and the design and operation of hydraulic structures. The presented study propose...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/94349/1/RanaMuhammadAdnan2021_SuspendedSedimentModeling.pdf |