| Publication type: |
 |
Research report |
|
| Subject: |
|
Computer Science/Modeling and Simulation
|
|
| Title: |
|
Study of overland flow with uncertain infiltration using stochastic tools |
|
| Author(s): |
|
Marie Rousseau ( ) 1, Olivier Cerdan () 2, Alexandre Ern 1, Olivier Le Maitre () 3, Pierre Sochala () 2 |
|
| Laboratory: |
|
|
|
| Abstract: |
|
The saturated hydraulic conductivity is one of the key parameters in the modelling of overland flow water fluxes. In this study, this parameter is defined as a stochastic parameter, idealized as a piecewise constant random field with uniform distribution. This paper aims at investigating the effects of the spatial and temporal scales in uncertainty propagation within overland flow models, and at identifying the localization of the most influential saturated hydraulic conductivity using sensitivity analysis. The results show that the influence of saturated hydraulic conductivity depends on the soil saturation and its spatial localization. For instance, in case of low saturated soils, the most influent parameter is the one located downslope, whereas in case of high saturated soils, the most influent one is either the most infiltrating or the intermediate one. The results indicate where efforts should be concentrate when collecting input parameters to reduce modelling uncertainties. |
|
| Fulltext language: |
|
English |
|
| Production date: |
|
2011-08-01 |
|
|
| Keyword(s): |
|
overland flow – infiltration – saturated hydraulic conductivity – Monte Carlo sampling – stochastic model – sensitivity analysis |
|
|
Export this paper
