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Article cité :

Prediction of bed load sediments using different artificial neural network models

Reza Asheghi and Seyed Abbas Hosseini
Frontiers of Structural and Civil Engineering 14 (2) 374 (2020)
https://doi.org/10.1007/s11709-019-0600-0

Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression

Kiyoumars Roushangar and Saman Shahnazi
Journal of Hydroinformatics (2019)
https://doi.org/10.2166/hydro.2019.077

Bed load prediction in gravel-bed rivers using wavelet kernel extreme learning machine and meta-heuristic methods

K. Roushangar and S. Shahnazi
International Journal of Environmental Science and Technology 16 (12) 8197 (2019)
https://doi.org/10.1007/s13762-019-02287-6

Combining Predictions and Assessing Uncertainty from Sediment Transport Equations Using Multivariate Bayesian Model Averaging

Jeffrey Y. Jung, Jeffrey D. Niemann and Blair P. Greimann
Journal of Hydraulic Engineering 144 (4) (2018)
https://doi.org/10.1061/(ASCE)HY.1943-7900.0001436

From flumes to rivers: Can sediment transport in natural alluvial channels be predicted from observations at the laboratory scale?

Emrah Dogan, Shivam Tripathi, Dennis A. Lyn and Rao S. Govindaraju
Water Resources Research 45 (8) (2009)
https://doi.org/10.1029/2008WR007637

Fluvial sediments entering the Tay Estuary: sediment discharge from the River Earn

N. A. Al-Ansari and J. McManus
Scottish Journal of Geology 15 (3) 203 (1979)
https://doi.org/10.1144/sjg15030203