Infiltration models and soil characterisation for hemispherical and disc sources based on Green-Ampt assumptions

Vigo, Ángel del; Zubelzu, Sergio; Juana, Luis

doi:10.1016/j.jhydrol.2021.125966

Cited by 13 publications

(1 citation statement)

References 38 publications

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“…That the Green Ampt solution tends to overestimate infiltration at intermediate stages while it adapts better to early or long times. As a result of the previous arguments, we can deduce that the main problem in the simulation of the infiltration without gravity must be the heterogeneity of the soil (, not addressed in this article [16].…”

Section: Resultsmentioning

confidence: 67%

One-dimensional infiltration equation based on Philip, Green, and Ampt models (El Kerma-Oran-Algeria)

Nabila

2022

Preprint

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The control of water discharges in the El Kerma area is of paramount importance. These soils, which are generally rich in clay materials, are characterized by a (very) low permeability that leads to a rapid rise in pore pressure in the event of a massive influx of water. Thus, the prediction of the rate of water infiltration is essential for the prevention of flood risks. It is mainly stormwater that must be feared. However, these waters cannot always be carried out in a network, because of the connection distance, or the insufficiency of its section in front of the extension of the waterproofed soils, which transport too fast high flows. Sanitation and urban development specialists are interested in the increase in impervious surfaces due to the development of urbanization that leads to excessive runoff flows during rainy periods. Their control is therefore much more delicate than that of wastewater, whose flows are generally low and spread over time. The objective of this part is to study the infiltration regimes by using three models chosen for their simplicity (Philip, Green, and Ampt) and compare them to obtain the most effective model. Unfortunately, the result was not adequate since the infiltration time of the treated sample was short.

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Section: Resultsmentioning

confidence: 67%