Earth Surface Dynamics
Earth Surface Dynamics
ESurf
Articles | Volume 11, issue 4
Articles | Volume 11, issue 4
https://doi.org/10.5194/esurf-11-681-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-11-681-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 4
Research article
 | 
27 Jul 2023
Research article |  | 27 Jul 2023

Development of a machine learning model for river bed load

Hossein Hosseiny, Claire C. Masteller, Jedidiah E. Dale, and Colin B. Phillips

Viewed

Total article views: 3,052 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,236 731 85 3,052 231 60 78
  • HTML: 2,236
  • PDF: 731
  • XML: 85
  • Total: 3,052
  • Supplement: 231
  • BibTeX: 60
  • EndNote: 78
Views and downloads (calculated since 23 May 2022)
Cumulative views and downloads (calculated since 23 May 2022)

Viewed (geographical distribution)

Total article views: 3,052 (including HTML, PDF, and XML) Thereof 2,917 with geography defined and 135 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Aug 2025
Download
Short summary
It is of great importance to engineers and geomorphologists to predict the rate of bed load in rivers. In this contribution, we used a large dataset of measured data and developed an artificial neural network (ANN), a machine learning algorithm, for bed load prediction. The ANN model predicted the bed load flux close to measured values and better than the ones obtained from four standard bed load models with varying degrees of complexity.
Read more
Share