Estimate of soil hydraulic properties from disc infiltrometer three-dimensional infiltration curve. Numerical analysis and field application

Latorre, Borja; Peña, C.; Lassabatère, Laurent; Angulo-Jaramillo, Rafaël; Moret‐Fernández, David

doi:10.1016/j.jhydrol.2015.04.015

Cited by 49 publications

(90 citation statements)

References 29 publications

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“…Given the trend of the curves, the results suggest that at some points the soil did not reach a condition close to saturation, after being subjected to a constant application of water, for a period of 150 minutes, especially for those sites that they registered a high infiltration rate. This behavior was observed for all the infiltration tests performed and reported by different authors (Machiwal et al 2006;Orjuela-Matta et al 2010;Latorre et al 2015).…”

Section: Resultssupporting

confidence: 79%

Theoretical view of the Shannon index in the evaluation of landscape diversity

Dušek¹,

Popelková²

2017

Auc Geographica

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The infiltration of water into the soil is a necessary parameter for irrigation systems design. Characterizing its spatial behavior allows a site-specific management of water according to soil conditions and crop requirements. The aim of this study is to establish the spatial distribution of infiltration in an Andisol by means of two geostatistical approaches: on the one hand by means of functional kriging, taking as input infiltration curves (obtained after a smoothing stage), and on the other hand by using classical ordinary kriging on the parameters of the Kostiakov and Phillip models. The comparison between these methodologies is carried out taking as a criterion the sum of squared errors of a leave-one-out cross-validation analysis. The results show a high correlation between observations and predictions (R 2 values around 99%), which indicates that the use of functional geostatistics in this context could be a good alternative. Moreover, from a descriptive point of view, we can point out that the contour maps of basic infiltration (BI), cumulative infiltration (Ci), saturated hydraulic conductivity (Ks), and sorptivity (S) obtained with the observed data, as well as the predictions by functional geostatistics, show a very similar behavior, which empirically validates the use of this methodology.

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Section: Resultssupporting

confidence: 79%

Theoretical view of the Shannon index in the evaluation of landscape diversity

Dušek¹,

Popelková²

2017

Auc Geographica

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“…Vandervaere et al (2000) proposed removing the effect of the contact sand layer by applying a differentiated linearization method to the 2T expansion. However, Latorre et al (2015) demonstrated that this method was very inaccurate when applied to "noisy" experimental infiltration curves. As an alternative, these authors used a layered flow model where water does not infiltrate into the soil until the sand layer is completely saturated.…”

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confidence: 99%

Three‐ and four‐term approximate expansions of the Haverkamp formulation to estimate soil hydraulic properties from disc infiltrometer measurements

Moret‐Fernández

Latorre

López

et al. 2020

Hydrological Processes

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Soil sorptivity, S, and saturated hydraulic conductivity, K s , can be estimated from the inverse analysis of a disc infiltrometer cumulative infiltration curve using the quasi-exact implicit (QEI) analytical Haverkamp et al. (1994) equation, which is a function of K s , S, the parameters β and γ, the disc radius, r d , and the water content increase, Δθ. Given the complexity of solving QEI, this paper presents three-term, 3T, and four-term, 4T, QEI expansions to estimate S and K s. The interplays between β, γ, K s and S employing S-K s , γ-K s , γ-S, γ-β, S-β and K s-β error maps generated for a loam soil synthetic infiltration were analyzed with QEI. To reduce the number of variables, Δθ, r d and γ were packed into the A = γ r d Δθ term. Five different QEI expansion analyses were evaluated: (i and ii) optimization of 3T using A, 3T A , or β, 3T β , as fixed variables; (iii and iv) optimization of 3T, 3T Aβ , and 4T, 4T Aβ , using constant β and A values; and (v) optimization of 4T leaving all coefficients free, 4T F. The different methods were evaluated with synthetic infiltrations for homogeneous sand, loam and silt soils, and for an uniform loam soil with a contact sand layer. The QEI expansions were applied to experimental infiltrations, and the results were compared to those obtained with QEI, using β = 0.6 and γ = 0.75. Infiltrations were performed at zero cm of soil tension. Global optimization with QEI demonstrates that γ and β are extremely linked. This makes it difficult to estimate these two parameters. All procedures applied to synthetic homogeneous soils resulted in good K s and S approaches. However, only 3T A , 3T Aβ and 4T Aβ obtained accurate estimates of K s and S when applied to a synthetic homogeneous soil with a contact sand layer. Application of the different methods to the experimental infiltrations showed that 3T Aβ and 4T Aβ gave the most accurate and robust estimates of S and K s .

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“…For such simultaneous determination, two general approaches are used: (i) recordings of a water flow process and subsequent inverse modelling; and (ii) fitting of HSP-functions to measured data of θ(h) and K(h). Exemplary observation setups for (i) are: one-or multistep outflow lab experiments (e.g., [18,19]), evaporation experiments [20], infiltration experiments in the field [17,21,22], or field monitoring of soil water state [23,24]. Inverse modelling rapidly gives reliable results and is the most established method to obtain HSP.…”

Section: Introductionmentioning

confidence: 99%

Combination of Measurement Methods for a Wide-Range Description of Hydraulic Soil Properties

Weninger

Bodner

Kreiselmeier

et al. 2018

Water

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Established measurement methods for hydraulic soil properties cover a limited soil moisture range. Simulations of soil water dynamics based on such observations are therefore rarely representative for all conditions from saturation to drought. Recent technical developments facilitate efficient and cheap collecting of soil water characteristics data, but the quantitative benefit of extended measurement campaigns has not been adequately tested yet. In this study, a combination of four methods to measure water retention and hydraulic conductivity at different moisture ranges was applied. Evaporation method, dewpoint psychrometry, hood infiltrometer experiments, and falling head method for saturated conductivity were conducted at two experimental sites in eastern Austria. Effects of including the particular methods in the measurement strategy were examined by visual evaluation and a 1D-modelling sensitivity study including drainage, infiltration and drought conditions. The evaporation method was considered essential due to its broad measurement range both for water retention and hydraulic conductivity. In addition to that, the highest effect on simulated water balance components was induced by the inclusion of separate conductivity measurements near saturation. Water content after three days of drainage was 15 percent higher and the transpiration rate in a drought period was 22 percent higher without near-saturated conductivity measurements. Based on relative comparisons between different combinations, we suggested combining evaporation method and hood infiltrometer experiments as the basis for representative predictions of soil water dynamics.

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Estimate of soil hydraulic properties from disc infiltrometer three-dimensional infiltration curve. Numerical analysis and field application

Cited by 49 publications

References 29 publications

Theoretical view of the Shannon index in the evaluation of landscape diversity

Theoretical view of the Shannon index in the evaluation of landscape diversity

Three‐ and four‐term approximate expansions of the Haverkamp formulation to estimate soil hydraulic properties from disc infiltrometer measurements

Combination of Measurement Methods for a Wide-Range Description of Hydraulic Soil Properties

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