A note on the use of the Philip infiltration equation

Smiles, DE; Knight, JH

doi:10.1071/sr9760103

Cited by 71 publications

(46 citation statements)

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“…(4) to the measured cumulative infiltration data. This can be done either by direct nonlinear optimization or by one of the linear fitting techniques (e.g., Smiles and Knight, 1976;Vandervaere et al, 1997).…”

Section: Methods For the Evaluation Of Ponded Infiltration Field Expementioning

confidence: 99%

Interpretation of ponded infiltration data using numerical experiments

Dohnal

Vogel

Dušek

et al. 2016

Journal of Hydrology and Hydromechanics

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Abstract:Ponded infiltration experiment is a simple test used for in-situ determination of soil hydraulic properties, particularly saturated hydraulic conductivity and sorptivity. It is known that infiltration process in natural soils is strongly affected by presence of macropores, soil layering, initial and experimental conditions etc. As a result, infiltration record encompasses a complex of mutually compensating effects that are difficult to separate from each other. Determination of sorptivity and saturated hydraulic conductivity from such infiltration data is complicated. In the present study we use numerical simulation to examine the impact of selected experimental conditions and soil profile properties on the ponded infiltration experiment results, specifically in terms of the hydraulic conductivity and sorptivity evaluation. The effect of following factors was considered: depth of ponding, ring insertion depth, initial soil water content, presence of preferential pathways, hydraulic conductivity anisotropy, soil layering, surface layer retention capacity and hydraulic conductivity, and presence of soil pipes or stones under the infiltration ring. Results were compared with a large database of infiltration curves measured at the experimental site Liz (Bohemian Forest, Czech Republic). Reasonably good agreement between simulated and observed infiltration curves was achieved by combining several of factors tested. Moreover, the ring insertion effect was recognized as one of the major causes of uncertainty in the determination of soil hydraulic parameters.

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Section: Methods For the Evaluation Of Ponded Infiltration Field Expementioning

confidence: 99%

Interpretation of ponded infiltration data using numerical experiments

Dohnal

Vogel

Dušek

et al. 2016

Journal of Hydrology and Hydromechanics

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“…However, interpretation of these infiltration tests often requires that the S and C terms both be considered. Methods to differentiate between sorptivity and saturated hydraulic conductivity for such infiltration conditions have been proposed [Smiles and Knight, 1976;Smettem et al, 1995;Vandervaere et al, 2000], but may be inadequate for estimating small K s values [Smettem et al, 1995].…”

Section: Introductionmentioning

confidence: 99%

Modeling effect of initial soil moisture on sorptivity and infiltration

et al. 2013

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[1] A soil's capillarity, associated with the parameter sorptivity, is a dominant control on infiltration, particularly at the onset of rainfall or irrigation. Many mathematical models used to estimate sorptivity are only valid for dry soils. This paper examines how sorptivity and its capillary component (as wetting front potential) change with initial degree of saturation. We capture these effects with a simple modification to the classic Green-Ampt model of sorptivity. The modified model has practical applications, including (1) accurately describing the relative sorptivity of a soil at various water contents and (2) allowing for quantification of a soil's saturated hydraulic conductivity from sorptivity measurements, given estimates of the soil's characteristic curve and initial water content. The latter application is particularly useful in soils of low permeability, where the time required to estimate hydraulic conductivity through steady-state methods can be impractical.

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“…Other researchers have also reported that this latter equation gives reasonable predictions of field-measured infiltration (see e.g. Talsma, 1969;Talsma & Parlange, 1972;Smiles & Knight, 1976). An advantage of the Philip equation is that it has only two parameters, which facilitates computation.…”

Section: Application Of Infiltration Equationsmentioning

confidence: 93%

“…The two coefficients S and A can be evaluated directly from observed infiltration tests (see e.g. Sharma et al, 1980;Smiles & Knight, 1976). The three coefficients of the Horton equation are also easily evaluated from field data.…”

Section: Application Of Infiltration Equationsmentioning

confidence: 99%

Application of infiltration equations to a catchment with large spatial variability in infiltration

Berndtsson

1987

Hydrological Sciences Journal

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The infiltration equations according to Horton and Philip are applied to 52 double-ring infiltrometer tests performed in a small semiarid catchment in northern Tunisia. Spatial variability in infiltration properties is analysed as regards the coefficients of the two equations. Different geomorphological zones display different infiltration characteristics even if there is large variability within each zone and no clear statistical difference between the zones. Statistical properties of the coefficients of Horton's and Philip's equations describing cumulative infiltration are presented and discussed. The statistical distribution of the coefficients seems to be well approximated by an exponential function.

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A note on the use of the Philip infiltration equation

Cited by 71 publications

References 0 publications

Interpretation of ponded infiltration data using numerical experiments

Interpretation of ponded infiltration data using numerical experiments

Modeling effect of initial soil moisture on sorptivity and infiltration

Application of infiltration equations to a catchment with large spatial variability in infiltration

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