2017
DOI: 10.4081/jae.2017.597
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Source shape and data analysis procedure effects on hydraulic conductivity of a sandy-loam soil determined by ponding infiltration runs

Abstract: 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 saturate… Show more

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Cited by 4 publications
(2 citation statements)
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References 35 publications
(77 reference statements)
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“…when using a ring of 30 cm instead of 15 cm (Bagarello et al, 2020). In addition to the apparatus size, the influence of the infiltration source shape, i.e., circle or square, was investigated by Bagarello et al (2017b), and the latter shape could represent a good way to characterize the saturated soil of an area of interest (for example, square or rectangular surfaces) and as rectangular shapes may be more practical to produce. Different methods were used to estimate Ks for PI and SFH techniques.…”
Section: Figmentioning
confidence: 99%
“…when using a ring of 30 cm instead of 15 cm (Bagarello et al, 2020). In addition to the apparatus size, the influence of the infiltration source shape, i.e., circle or square, was investigated by Bagarello et al (2017b), and the latter shape could represent a good way to characterize the saturated soil of an area of interest (for example, square or rectangular surfaces) and as rectangular shapes may be more practical to produce. Different methods were used to estimate Ks for PI and SFH techniques.…”
Section: Figmentioning
confidence: 99%
“…In general, establishing the reliability of new methods is not a simple task, also due to the high K fs variability both in space and time [23,24]. Moreover, many other sources of variability may also arise when comparing different field measurement techniques, such as sample size [25], ring diameter [26], source shape [27] and field sampling procedure [28,29]. One could expect that considering laboratory measurements as targeted values would help to check the reliability of field data.…”
Section: Introductionmentioning
confidence: 99%