Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 3
Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-2007-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-2007-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 3
Research article
 | 
28 Mar 2018
Research article |  | 28 Mar 2018

Ensemble modeling of stochastic unsteady open-channel flow in terms of its time–space evolutionary probability distribution – Part 2: numerical application

Alain Dib and M. Levent Kavvas

Viewed

Total article views: 1,876 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,147 665 64 1,876 72 78
  • HTML: 1,147
  • PDF: 665
  • XML: 64
  • Total: 1,876
  • BibTeX: 72
  • EndNote: 78
Views and downloads (calculated since 09 Aug 2017)
Cumulative views and downloads (calculated since 09 Aug 2017)

Viewed (geographical distribution)

Total article views: 1,876 (including HTML, PDF, and XML) Thereof 1,775 with geography defined and 101 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
A newly proposed method is applied to solve a stochastic unsteady open-channel flow system (with an uncertain roughness coefficient) in only one simulation. After comparing its results to those of the Monte Carlo simulations, the new method was found to adequately predict the temporal and spatial evolution of the probability density of the flow variables of the system. This revealed the effectiveness, strength, and time efficiency of this new method as compared to other popular approaches.
Read more