Estimation of the soil hydraulic properties from the transient infiltration curve measured on soils affected by water repellency

Moret‐Fernández, David; Latorre, Borja; Giner, M. L.; Ramos, Jesús; Alados, Concepción L.; Castellano, Clara; López, M.V.; Jiménez, Juan J.; Pueyo, Yolanda

doi:10.1016/j.catena.2019.03.031

Cited by 15 publications

(13 citation statements)

References 41 publications

(79 reference statements)

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“…In other words, the water enters the soil slowly before the inflection point, and then enters more quickly after this point. This result is in accordance with that reported by Moret‐Fernández et al (2019). The slower infiltration before the inflection point could be explained by the hydrophobicity preventing water from entering the soil, resulting in a low IR.…”

Section: Resultssupporting

confidence: 94%

“…The difference is that CI exhibits smooth monotonic growth for HS (Figure 4a), but a more variable increase for W‐RS. The WR effect is very evident in these CI curves, similar to those measured by Moret‐Fernández et al (2019), where the CI has an inflection point and demonstrates smooth monotonic growth at the critical point (Figure 4b). Lichner, Capuliak, et al (2013) and Lichner, Hallett, et al (2013) defined the relationship between CI and the square root of time as “hockey‐stick‐like”, and suggested a procedure for estimating the WR cessation time.…”

Section: Resultssupporting

confidence: 85%

“…The inflection point, which indicates the WR cessation time (Moret‐Fernández et al, 2019), was estimated from the point of intersection of two straight lines, representing the CI relationships for the W‐RS and the square root of time (Lichner, Capuliak, et al 2013; Lichner, Hallett, et al 2013). From Table 3 (rows 2–4, column 3), we can see that the GF parameter t p (581, 352, and 326) is close to the CI inflection point (Figure 4b), which corresponds to the maximum IR (Figure 5b).…”

Section: Resultsmentioning

confidence: 99%

“…Because the CI curves of W‐RS have a double slope (Moret‐Fernández et al, 2019) and the IR is a single‐peak curve (Ren et al, 2018), the traditional water infiltration model does not provide a good fit (Moret‐Fernández et al, 2019). Thus, this study attempts to fit the IR using GF, PGF, FSF, GMF, BF, and PBF.…”

Section: Methodsmentioning

confidence: 99%

“…At present, the phenomenon of increasing IR is being ignored and water infiltration is generalized as a monotonously decreasing process. Traditional infiltration models (e.g., those of Green–Ampt, Philip, Kostiakov, and Horton) and piecewise function models are still used to fit the double‐slope infiltration process (De Almeida et al, 2018; Moret‐Fernández et al, 2019) in the model developed by Haverkamp et al (1994), and the corresponding infiltration curve indicates that the traditional model should not be applied to this kind of curve. A piecewise Kostiakov function (PKF) has been used to calculate the IR, resulting in a discontinuity at the inflection point (Ren et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Application of a water infiltration model for simulating water repellency of humus soil

Zhao

Ren

Gong

et al. 2020

Hydrological Processes

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One-dimensional infiltration experiments were conducted using hydrophilic and water-repellent soils from the Guishui River Basin to study the effects of soil water repellency on cumulative infiltration (CI) and the infiltration rate (IR). The test results show that, for the hydrophilic soil (HS) sample, CI increases monotonously with time and IR decreases monotonously. For the water-repellent soil (W-RS), however, the following characteristics were observed: (a) There is an inflection point in CI and a sudden increase in IR. Larger values of the initial soil water content produce an earlier and more significant inflection point in CI, and a larger peak value of IR. (b) The postpeak stable IR is greater than the pre-peak value, ignoring the beginning of rapid infiltration, and the overall IR presents a single peak. The applicability of various water infiltration models was analysed for the two soil types. Numerical analysis suggests the following conclusions: (a) For both HS and W-RS, the Kostiakov function, Gamma function, and Beta function (BF) models exhibit good applicability. (b) For W-RS, the Gauss function model not only reflects the monotonous decrease in IR, but also produces a steady IR in the initial stage, a gradual increase before the peak value, and a gradual decrease after the peak value. Similarly, the BF model reflects the monotonous decrease in IR. A piecewise BF reproduces the U-shaped change in rapid infiltration before the inflection point, as well as the gradual increase and rightskewed distribution curve of W-RS infiltration before and after the inflection point.The BF model achieves the best simulation accuracy and has the widest applicability. K E Y W O R D Sdisappearance of water repellency, plant root growth, probability density function, single peak, soil volume expansion, soil water repellency, temperature rises, water infiltration model

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Section: Resultssupporting

confidence: 94%

Section: Resultssupporting

confidence: 85%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Application of a water infiltration model for simulating water repellency of humus soil

Zhao

Ren

Gong

et al. 2020

Hydrological Processes

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On the three‐parameter infiltration equation of Parlange et al. (1982): Numerical solution, experimental design, and parameter estimation

Vrugt

Gao

2022

Vadose Zone Journal

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Soil water infiltration is central to hydrologic studies and lends itself for detailed experimentation and mathematical–physical modeling. The most rigorous of these approaches numerically solve Richards’ equation, possibly coupled through a heterogeneous soil to a surface water routine and groundwater model. This approach is computationally expensive and prone to mass balance errors and overparameterization. Analytic solutions of the infiltration process obviate the need for specification of hydraulic functions and simplify computation and inverse determination of soil properties. This paper investigates the usefulness of Parlange's three‐parameter infiltration equation for forward and inverse modeling of vertical infiltration experiments. This quasi‐exact implicit solution of Richards’ equation, also credited to Haverkamp and coworkers in recent literature, is valid for the entire infiltration event, matches cumulative infiltration data from different soils and its (super‐)parameters, S, Ks, and β, exhibit a solid mathematical–physical underpinning. Nonetheless, Parlange's equation has not entered mainstream use for infiltration simulation and data analysis in the absence of a robust, exact and efficient numerical solution. This paper builds upon the recent work of Jaiswal et al. and presents theory, algorithms, and source codes of two numerical procedures for forward and inverse modeling of Parlange's infiltration equation. We illustrate the procedures using measured infiltration data from the Soil Water Infiltration Global (SWIG) database. Our findings highlight the potential of Parlange's equation for infiltration modeling and hydraulic characterization of the soil sorptivity, S [L T−1/2], saturated hydraulic conductivity, Ks [L T−1], and unitless coefficient, β. Parlange's infiltration equation provides a powerful alternative to mathematically more convenient explicit infiltration equations that suffer physical underpinning and/or a limited time validity.

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Can rainfall seasonality trigger soil water repellency in a tropical riparian forest?

et al. 2022

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Though riparian areas generally have a shallow water table and higher soil moisture compared to upslope areas, climatic seasonality may trigger water repellency in tropical riparian forests, which, if persistent, could negatively affect essential ecosystem functions related to water resources protection such as reduced overland-flow, sediment transport, and nutrient filtration. The objective of this study was to answer the following: can tropical riparian forests develop water repellency? If so, does water repellency affect infiltration on a seasonal basis? For this, water repellency and infiltration were measured in a grid of 72 points during a dry and a wet month of a tropical riparian forest with a shallow water table in a region with highly marked climatic seasonality. Water repellency and infiltration were significantly different between the wet and dry months. Water repellency affected negatively infiltration in the dry month, its effect in the wet month was insignificant. As a result, a higher infiltration capacity was observed over the wet period. Previous research has claimed that the development and persistence of repellency in soils could promote other hydrological processes such as overland flow. The findings shown here demonstrate that such phenomenon does not persist longer than the dry season.

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Estimation of the soil hydraulic properties from the transient infiltration curve measured on soils affected by water repellency

Cited by 15 publications

References 41 publications

Application of a water infiltration model for simulating water repellency of humus soil

Application of a water infiltration model for simulating water repellency of humus soil

On the three‐parameter infiltration equation of Parlange et al. (1982): Numerical solution, experimental design, and parameter estimation

Can rainfall seasonality trigger soil water repellency in a tropical riparian forest?

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