Hydraulic Conductivity as Influenced by Stoniness in Degraded Drylands of Chile

Verbist, Koen; Baetens, Jan; Cornelis, Wim; Gabriëls, Donald; Torres, Claudio; Soto, Guido

doi:10.2136/sssaj2008.0066

Cited by 57 publications

(50 citation statements)

References 41 publications

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“…Tension infiltrometers have been used by a number of researchers to calculate hydraulic conductivity from infiltration data (Zhang, 1997;Verbist et al, 2009). Based on the Wooding analysis, the cumulative infiltration I(t) in meters per second is modeled by the following (Zhang, 1997 ;Verbist et al, 2009):…”

Section: Unsaturated Hydraulic Conductivity Experimentsmentioning

confidence: 99%

See 1 more Smart Citation

Effects of four soil surfactants on four soil-water properties in sand and silt loam

Mobbs¹,

Peters²,

Davenport³

et al. 2012

Journal of Soil and Water Conservation

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Section: Unsaturated Hydraulic Conductivity Experimentsmentioning

confidence: 99%

“…Based on the Wooding analysis, the cumulative infiltration I(t) in meters per second is modeled by the following (Zhang, 1997 ;Verbist et al, 2009):…”

Section: Unsaturated Hydraulic Conductivity Experimentsmentioning

confidence: 99%

Effects of four soil surfactants on four soil-water properties in sand and silt loam

Mobbs¹,

Peters²,

Davenport³

et al. 2012

Journal of Soil and Water Conservation

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“…Inverse optimisation technique (estimates of Ks for each sampling point and one overall field α* parameter) Bagarello and Sgroi (2004) OPD Gómez et al (2005) Method 2 by Wu et al (1999) Bagarello andSgroi (2007) OPD Bagarello et al (2009a) TPD. Method 1 by Wu et al (1999) Verbist et al (2009 OPD. Method 1 by Wu et al (1999) Verbist et al (2010 OPD.…”

Section: Referencementioning

confidence: 99%

“…The single-ring pressure infiltrometer (PI) (Reynolds and Elrick, 1990) is a simple device that has frequently been applied in the field during the past 20 years (Vauclin et al, 1994;Ciollaro and Lamaddalena, 1998;AnguloJaramillo et al, 2000;Bagarello et al, 2000;Reynolds et al, 2000;Mertens et al, 2002;Bagarello and Sgroi, 2004;Gómez et al, 2005;Verbist et al, 2009Verbist et al, , 2010Bagarello et al, 2013b;Verbist et al, 2013;Bagarello et al, 2014a;Angulo-Jaramillo et al, 2016). A constant hydraulic head is established within a ring inserted to a short depth into the soil, and three-dimensional flow rate into the soil is monitored until near steady-state conditions have been reached.…”

Section: Introductionmentioning

confidence: 99%

Source shape and data analysis procedure effects on hydraulic conductivity of a sandy-loam soil determined by ponding infiltration runs

Bagarello¹,

Santis²,

Giordano³

et al. 2017

J Agricult Engineer

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Performing ponding infiltration runs with non-circular sources could represent a good means to sample completely an area of interest. Regardless of the shape of the source, predicting the expected reliability of the collected data by infiltrometers should facilitate soil hydraulic characterisation and also allow a more conscious use of the field data. The influence of the shape of the infiltration source (i.e., circular or square) and the analysis procedure of the steady-state infiltration data on the saturated hydraulic conductivity, Ks, of a sandy-loam soil was tested in this investigation. Circular and square surfaces sampled with the pressure infiltrometer (PI) yielded similar estimates of Ks (i.e., differing by a factor of 1.05-1.16, depending on the calculation method) when an equivalent radius was considered to geometrically describe the square source. With the simplified falling head (SFH) technique, the shape of the source was irrelevant (i.e., circular and square sources yielding Ks values that differed by a factor of 1.19), as theoretically expected. For the steady-state PI experiment, the twoponding depth approach yielded two times smaller Ks values than the one-ponding depth (OPD) approach, probably due to lower steady-state flow rates than those expected for the second phase of the two-level run. The conclusions were that: i) simple infiltrometer experiments (PI, SFH) can be carried out with square sources; and ii) the simplest PI run (OPD approach) is expected to yield the most reliable predictions of Ks. Sampling other soils is advisable in an attempt to make these conclusions of general validity.

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“…The single-ring pressure infiltrometer (PI) ) is a practically simple device that has frequently been applied in the field in the past 20 years (Vauclin et al, 1994;Ciollaro and Lamaddalena, 1998;Bagarello and Iovino, 1999;Angulo-Jaramillo et al, 2000;Bagarello et al, 2000Bagarello et al, , 2013aBagarello et al, , 2014Reynolds et al, 2000;Bagarello and Sgroi, 2004;Mertens et al, 2002;Gómez et al, 2005;Verbist et al, 2009Verbist et al, , 2010Verbist et al, , 2013. This technique uses a small radius metal ring that is inserted into the soil to a short depth.…”

Section: Introductionmentioning

confidence: 99%

Testing steady-state analysis of single-ring and square pressure infiltrometer data

2016

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Testing reliability of the saturated soil hydraulic conductivity, K s , estimated by applying the steady-state singlering (SR) model to the quasi steady-state infiltration rates obtained with a single-ring pressure infiltrometer (PI) increases confidence in the estimated K s values. Determining a means to estimate K s from infiltration data collected with a square infiltrometer allows the use of sources of different shapes. Using numerically simulated infiltration rates for six homogeneous soils ranging in texture from sand to silty clay loam, this investigation suggested an overall good performance of the SR model, with estimated K s values differing by not more than 25% from the true values for the 90% of the 96 considered runs. Larger errors were generally obtained for the silty clay loam soil. Even in this case, however, a small ring radius (0.038 m), a relatively high initial soil water content (initial effective saturation = 0.4) and a relatively high depth of ponding (0.10 m) allowed the obtainment of accurate predictions of K s (error = 13%) with a run of practically sustainable duration (4 h). The SR model was also usable to analyze quasi steady-state infiltration data collected with a square infiltrometer when infiltration was assumed to occur through a circular source having the same area of the square infiltrometer. With this assumption, the estimates of K s differed from the true values by not more than a practically negligible 16%. The results of this investigation should help better interpret K s values obtained with the PI and also improve the experimental methodology, depending on the soil. Moreover, a wider applicability of the infiltrometer techniques, i.e. not limited to a circular source, can be expected. Soil heterogeneity should be taken into account in the future since heterogeneity is common in the field.

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Hydraulic Conductivity as Influenced by Stoniness in Degraded Drylands of Chile

Cited by 57 publications

References 41 publications

Effects of four soil surfactants on four soil-water properties in sand and silt loam

Effects of four soil surfactants on four soil-water properties in sand and silt loam

Source shape and data analysis procedure effects on hydraulic conductivity of a sandy-loam soil determined by ponding infiltration runs

Testing steady-state analysis of single-ring and square pressure infiltrometer data

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