Derivation of a two-term infiltration equation from the Green–Ampt model

Swartzendruber, D.

doi:10.1016/s0022-1694(00)00297-3

Cited by 14 publications

(5 citation statements)

References 14 publications

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“…The infiltration excess flow is calculated using the Green-Ampt infiltration model whereby water infiltrates as a piston like sharp wetting front (Green and Ampt, 1911). Table 1 shows the parameters which were obtained from literature (Ambroise et al, 1996;Beven, 1997a;Beven, 1997b;Swartzendruber, 2000;Barry et al, 2005;Van den Putte et al, 2013) and linked to soil texture and vegetation parameters. This study adopted the power function formulation of the Green and Ampt infiltration equation in the original concept by Beven (1984) which allows variation in the infiltration rates and generation of streamflow as influenced by land cover.…”

Section: Hydrological Modellingmentioning

confidence: 99%

Predicting streamflow for land cover changes in the Upper Gilgel Abay River Basin, Ethiopia: A TOPMODEL based approach

Gumindoga

Rientjes

Haile

et al. 2014

Physics and Chemistry of the Earth, Parts A/B/C

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Section: Hydrological Modellingmentioning

confidence: 99%

Predicting streamflow for land cover changes in the Upper Gilgel Abay River Basin, Ethiopia: A TOPMODEL based approach

Gumindoga

Rientjes

Haile

et al. 2014

Physics and Chemistry of the Earth, Parts A/B/C

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“…This was implemented by means of the Green and Ampt equation [46]. Table 5 shows the most relevant model parameters and the Green and Ampt parameters [47][48][49], which were obtained from literature and linked to soil texture and soil compactness in the study area. The imperviousness of the two catchments was obtained through visualization of freely available Google Earth imagery of the study area and the texture was assessed using soil maps of the study area.…”

Section: Hydrological Modelingmentioning

confidence: 99%

Hydrological Impacts of Urbanization of Two Catchments in Harare, Zimbabwe

et al. 2014

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By increased rural-urban migration in many African countries, the assessment of changes in catchment hydrologic responses due to urbanization is critical for water resource planning and management. This paper assesses hydrological impacts of urbanization on two medium-sized Zimbabwean catchments (Mukuvisi and Marimba) for which changes in land cover by urbanization were determined through Landsat Thematic Mapper (TM) images for the years 1986, 1994 and 2008. Impact assessments were done through hydrological modeling by a topographically driven rainfall-runoff model (TOPMODEL). A satellite remote sensing based ASTER 30 metre Digital Elevation Model (DEM) was used to compute the Topographic Index distribution, which is a key input to the model. Results of land cover Woodlands decreased by more than 40% with a greater decrease in Marimba than Mukuvisi catchment. Simulations using TOPMODEL in Marimba and Mukuvisi catchments indicated streamflow increases of 84.8 % and 73.6 %, respectively, from 1980 to 2010. These increases coincided with decreases in woodlands and increases in urban areas for the same period. The use of satellite remote sensing data to observe urbanization trends in semi-arid catchments and to represent catchment land surface characteristics proved to be effective for rainfall-runoff modeling. Findings of this study are of relevance for many African cities, which are experiencing rapid urbanization but often lack planning and design.

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“…Presently there are a number of models about soil water infiltration. Horton soil water infiltration model (Ma et al, 2005;Horton, 1940), Philip infiltration model (Wang et al, 2002;William Detar, 1989;Philip, 1957), Green-Ampt infiltration model (Juanjuan et al, 2010;John and Selker, 1999;Swartzendruber, 2000;Shlomo and Neuman, 1976) and so on are the most frequently seen. Though they can simulate progress of soil water infiltration, there exists difference between progress simulation and actual value, which is not accurate enough.…”

Section: Soil Water Infiltration Model Simulation and Modificationmentioning

confidence: 99%

Impact and simulation of soil organic carbon on soil water infiltration process

Li¹,

Dandong²,

Yang³

2015

Afr. J. Agric. Res.

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 . Compared with the Horton soil water infiltration model simulation, the relative coefficients of the soil water infiltration rate simulation value and the practical measured value rise from 0.950, 0.951, 0.933, 0.921 to 0.968, 0.972, 0.961, 0.970. And the relative coefficients of the infiltration content simulation value and the practical measured value of a certain time period rise from 0.905, 0.628, 0.756, 0.898 to 0.941, 0.827, 0.905, 0.940. This model is much closer to the practical measured value and provides the estimation and simulation of the soil water infiltration process with a correct and effective approach.

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Derivation of a two-term infiltration equation from the Green–Ampt model

Cited by 14 publications

References 14 publications

Predicting streamflow for land cover changes in the Upper Gilgel Abay River Basin, Ethiopia: A TOPMODEL based approach

Predicting streamflow for land cover changes in the Upper Gilgel Abay River Basin, Ethiopia: A TOPMODEL based approach

Hydrological Impacts of Urbanization of Two Catchments in Harare, Zimbabwe

Impact and simulation of soil organic carbon on soil water infiltration process

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