Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-1993-2018
https://doi.org/10.5194/hess-22-1993-2018
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 1: theoretical development

Alain Dib and M. Levent Kavvas

Viewed

Total article views: 2,005 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,232 705 68 2,005 77 87
  • HTML: 1,232
  • PDF: 705
  • XML: 68
  • Total: 2,005
  • BibTeX: 77
  • EndNote: 87
Views and downloads (calculated since 09 Aug 2017)
Cumulative views and downloads (calculated since 09 Aug 2017)

Viewed (geographical distribution)

Total article views: 2,005 (including HTML, PDF, and XML) Thereof 1,921 with geography defined and 84 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 2024
Short summary
A new method is proposed to solve the stochastic unsteady open-channel flow system in only one single simulation, as opposed to the many simulations usually done in the popular Monte Carlo approach. The derivation of this new method gave a deterministic and linear Fokker–Planck equation whose solution provided a powerful and effective approach for quantifying the ensemble behavior and variability of such a stochastic system, regardless of the number of parameters causing its uncertainty.