Optimal parameters for the Green-Ampt infiltration model under rainfall conditions

Title:

Optimal parameters for the Green-Ampt infiltration model under rainfall conditions

Creator:

Chen, Li, Xiang, Long, Young, Michael H., Yin, Jun, Yu, Zhongbo, and van Genuchten, Martinus Th. van

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:6ab1390b-1b95-4656-a265-fe6d7b39ee65
uuid:6ab1390b-1b95-4656-a265-fe6d7b39ee65
doi:10.1515/johh-2015-0012

Subject:

Green-Ampt, infiltration, rainfall, and optimal parameters

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The Green-Ampt (GA) model is widely used in hydrologic studies as a simple, physically-based method to estimate infiltration processes. The accuracy of the model for applications under rainfall conditions (as opposed to initially ponded situations) has not been studied extensively. We compared calculated rainfall infiltration results for various soils obtained using existing GA parameterizations with those obtained by solving the Richards equation for variably saturated flow. Results provided an overview of GA model performance evaluated by means of a root-meansquare-error-based objective function across a large region in GA parameter space as compared to the Richards equation, which showed a need for seeking optimal GA parameters. Subsequent analysis enabled the identification of optimal GA parameters that provided a close fit with the Richards equation. The optimal parameters were found to substantially outperform the standard theoretical parameters, thus improving the utility and accuracy of the GA model for infiltration simulations under rainfall conditions. A sensitivity analyses indicated that the optimal parameters may change for some rainfall scenarios, but are relatively stable for high-intensity rainfall events.

Language:

Slovak

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

93-101

Source:

Journal of hydrology and hydromechanics | 2015 Volume:63 | Number:2

Harvested from:

CDK

Metadata only:

false