Real-time forecasting of suspended sediment concentrations reservoirs by the optimal integration of multiple machine learning techniques
Study region: Shihmen Reservoir is ranked the second largest designed storage capacity in Taiwan. Study focus: The accurate forecasting of suspended sediment concentrations (SSCs) during typhoons is critical for effective reservoir management. This paper proposes a two-step switched machine learning...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-04-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581821000331 |