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

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Title:Optimal parameters for the Green-Ampt infiltration model under rainfall conditions
Creators:
Chen, Li; li dot chen at dri dot edu; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China
Xiang, Long; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China.
Young, Michael H.; Bureau of Economic Geology, University of Texas at Austin, Austin, TX, USA.
Yin, Jun; Ministry of Forests, Land & Natural Resource Operation, Prince George, BC, Canada.
Yu, Zhongbo; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China.
van Genuchten, Martinus Th.; Department of Mechanical Engineering, Federal University of Rio de Janeiro, Brazil.
Journal or Publication Title:
Journal of Hydrology and Hydromechanics, 63, 2, pp. 93-101
Uncontrolled Keywords:Green-Ampt, infiltration, rainfall, optimal parameters

Abstract

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.

Official URL: http://147.213.145.2/vc/vc1.asp

Title:Optimal parameters for the Green-Ampt infiltration model under rainfall conditions
Translated title:Optimal parameters for the Green-Ampt infiltration model under rainfall conditions
Creators:
Chen, Li; li dot chen at dri dot edu; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China
Xiang, Long; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China.
Young, Michael H.; Bureau of Economic Geology, University of Texas at Austin, Austin, TX, USA.
Yin, Jun; Ministry of Forests, Land & Natural Resource Operation, Prince George, BC, Canada.
Yu, Zhongbo; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China.
van Genuchten, Martinus Th.; Department of Mechanical Engineering, Federal University of Rio de Janeiro, Brazil.
Uncontrolled Keywords:Green-Ampt, infiltration, rainfall, optimal parameters
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Mathematics, Physics and Earth Sciences > Institute of Hydrodynamics > Journal of Hydrology and Hydromechanics
Journal or Publication Title:Journal of Hydrology and Hydromechanics
Volume:63
Number:2
Page Range:pp. 93-101
ISSN:0042-790X
Publisher:Institute of Hydrology of the Slovak Academy of Sciences and the Institute of Hydrodynamics of the Academy of Sciences of the Czech Republic
Related URLs:
URLURL Type
http://avi.lib.cas.cz/node/55Publisher
ID Code:8388
Item Type:Article
Deposited On:07 Apr 2015 13:04
Last Modified:07 Apr 2015 11:04

Citation

Chen, Li; Xiang, Long; Young, Michael H.; Yin, Jun; Yu, Zhongbo; van Genuchten, Martinus Th. (2015) Optimal parameters for the Green-Ampt infiltration model under rainfall conditions. Journal of Hydrology and Hydromechanics, 63 (2). pp. 93-101. ISSN 0042-790X

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