In: Journal of Hydrology and Hydromechanics, vol. 63, no. 2
Li Chen - Long Xiang - Michael Young - Jun Yin - Zhongbo Yu - Martinus Van Genuchten
Detaily:
Rok, strany: 2015, 93 - 101
Kľúčové slová:
Green-Ampt; Infiltration; Rainfall; Optimal parameters.
URL originálneho zdroja: http://www.ih.savba.sk/jhh
O článku:
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.
Ako citovať:
ISO 690:
Chen, L., Xiang, L., Young, M., Yin, J., Yu, Z., Van Genuchten, M. 2015. Optimal parameters for the Green-Ampt infiltration model
under rainfall conditions. In Journal of Hydrology and Hydromechanics, vol. 63, no.2, pp. 93-101. 0042-790X (until 2019) .
APA:
Chen, L., Xiang, L., Young, M., Yin, J., Yu, Z., Van Genuchten, M. (2015). Optimal parameters for the Green-Ampt infiltration model
under rainfall conditions. Journal of Hydrology and Hydromechanics, 63(2), 93-101. 0042-790X (until 2019) .