Results 131 to 140 of about 622 (180)
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Exploring the parameter space of the Green–Ampt model
Advances in Water Resources, 2013This study systematically investigates the entire parameter space of the Green–Ampt model for water infiltration and allows for arbitrary constant hydraulic head boundary conditions, any column inclination, hydrophilic and hydrophobic porous media, and a nonzero initial cumulative infiltration.
Markus Hilpert, Roland Glantz
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Modification and discussion of the Green-Ampt model for an evolving wetting profile
Hydrological Sciences Journal, 2020The Green-Ampt (GA) model has been widely used to evaluate soil water infiltration. While a simple piston profile is commonly used, the wetting profile of a soil changes during infiltration and a q...
Qiyong Zhang, Wenwu Chen
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On a fractional derivative form of the Green–Ampt infiltration model
Advances in Water Resources, 2011Abstract The Green–Ampt model for infiltration into homogeneous soils predicts a monotonically decreasing infiltration rate and a wetting front that initially advances as the square root of time. Infiltration in heterogeneous soils, however, can exhibit non-monotonic infiltration rates and wetting front advances that differ from the square root of ...
Vaughan R Voller
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A modified Green-Ampt infiltration model for muddy water
Journal of HydrologyLiangjun Fei, Qianwen Fan
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Advances in Water Resources, 2005
The solution to the Green and Ampt infiltration equation is expressible in terms of the Lambert W-1 function. Approximations for Green and Ampt infiltration are thus derivable from approximations for the W-1 function and vice versa. An infinite family of asymptotic expansions to W-1 is presented.
Barry, DA +4 more
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The solution to the Green and Ampt infiltration equation is expressible in terms of the Lambert W-1 function. Approximations for Green and Ampt infiltration are thus derivable from approximations for the W-1 function and vice versa. An infinite family of asymptotic expansions to W-1 is presented.
Barry, DA +4 more
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Solutions to Green-Ampt Infiltration Equation
Journal of the Irrigation and Drainage Division, 1976The simple method of solving the Green-Ampt one-dimensional infiltration equations developed from Darcy's law are proposed for practical applications. The explicit solution is an approximation obtained by employing a power series expansion of the logarithmic term. The maximum error resulting from applying this simple explicit solution is 8%.
Ruh-Ming Li +2 more
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Green-Ampt Infiltration Parameters in Riparian Buffers
2004, Ottawa, Canada August 1 - 4, 2004, 2004Riparian buffers can improve surface water quality by filtering contaminants from runoff before they enter streams. Infiltration is an important process in riparian buffers. Computer models are often used to assess the performance of riparian buffers.
Stahr, L. +4 more
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DEVELOPMENT OF A CRUST FACTOR FOR A GREEN AMPT MODEL
Transactions of the ASAE, 1990ABSTRACT The formation of a soil crust has been shown to cause a major decrease in infiltration and needs to be accounted for in infiltration models. In response to this need, a procedure based on such properties and wetted front depth was developed for incorporating the steady state crust conductivity into the hydraulic conductivity term of the Green ...
null W. J. Rawls +3 more
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Use of the Green‐Ampt Equation with Variable Conductivity
Soil Science Society of America Journal, 1976Abstract A comparison with Phillp's two‐term equation, derived from a series solution involving t 1/2 , indicates that the hydraulic conductivity in the Green‐Ampt equation of vertical infiltration varies with time when the soil water content of the transmission zone is ...
L. R. Ahuja, G. Y. Tsuji
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Approximate Form of Green‐Ampt Infiltration Equation
Journal of Irrigation and Drainage Engineering, 1994We develop an approximation of the Green‐Ampt infiltration equation by using the first two terms of a Taylor‐series expansion of the equation. The resulting approximate equation is in the form of the Philip's equation, with an added term to account for the error in the approximation.
Jeffry J. Stone +2 more
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