Gas diffusion-derived tortuosity governs saturated hydraulic conductivity in sandy soils

Masís-Meléndez, Federico; Deepagoda, T.K.K. Chamindu; Jonge, Lis Wollesen de; Tuller, Markus; Møldrup, Per

doi:10.1016/j.jhydrol.2014.02.063

Cited by 30 publications

(32 citation statements)

References 36 publications

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“…Particulate porous media (Chamindu Deepagoda et al , ); ○ sandy soil (Jyndevad, Denmark) Masís‐Meléndez et al . (); Δ sandy soil (Hjørring, Denmark; Chamindu Deepagoda et al , ); □ andisol aggregates (Nishi‐Tokyo; Chamindu Deepagoda et al , ); ▪ peat soil (Disko, Greenland; this study).…”

Section: Resultsmentioning

confidence: 63%

“…(, , ) and Masís‐Meléndez et al . (). Particulate porous media (Chamindu Deepagoda et al , ); ○ sandy soil (Jyndevad, Denmark) Masís‐Meléndez et al .…”

Section: Resultsmentioning

confidence: 97%

“…In addition, D s,g data from the literature (Chamindu Deepagoda et al , , , ; Masís‐Meléndez et al , ) on different types of soil and porous media were considered for comparison of the two methods of calculation used by Taylor () and Currie ().…”

Section: Methodsmentioning

confidence: 99%

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Characterization of diffusivity‐based oxygen transport in Arctic organic soil

Deepagoda

Elberling

2015

European J Soil Science

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SummaryArctic terrestrial ecosystems are characterized by large deposits of near-surface soil organic carbon in poorly drained areas. Recent changes in Arctic regions such as warming and changes in water balance have adverse effects on the dynamics of near-surface oxygen, leading to a potential increase in oxidation of near-surface carbon and emission of CO 2 . This study investigated oxygen diffusivity characteristics, in both gaseous and liquid phases, in the upper 10 cm of an organic soil profile from a peatland in Disko, West Greenland (69 ∘ N). Two commonly used methods for calculating diffusivity of gaseous-phase oxygen were applied and discussed to select the most appropriate method for highly porous media, for example peat soil. We measured diffusivity of gaseous-phase oxygen with a one-chamber diffusion set-up in soil at different air contents (mimicking draining), and described it numerically with a previously developed parametric diffusivity model. We obtained precise measurements of liquid-phase oxygen diffusivity along a depth profile (0-2 cm) in water-saturated peat soil with a diffusivity microsensor coupled to a micromanipulator. The results show that the choice of an appropriate diffusivity model is critical for predicting oxygen diffusivity in organic soil and that diffusivity in mineral soil is not representative for organic soil. Furthermore, the importance of the non-linear functionality between water saturation and diffusivity is demonstrated. This highlights the importance of measuring and modelling oxygen diffusivity rather than relying on measurements of observed water content in future studies of CO 2 and CH 4 dynamics in Arctic soil systems subject to climate changes .

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Section: Resultsmentioning

confidence: 63%

“…(, , ) and Masís‐Meléndez et al . (). Particulate porous media (Chamindu Deepagoda et al , ); ○ sandy soil (Jyndevad, Denmark) Masís‐Meléndez et al .…”

Section: Resultsmentioning

confidence: 97%

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Characterization of diffusivity‐based oxygen transport in Arctic organic soil

Deepagoda

Elberling

2015

European J Soil Science

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“…In this study, 194 soil measurements of K s from undisturbed 100‐cm 3 soil core samples from three agricultural fields (Karup et al, 2016) were included in the development of the PTF for predicting K s : Estrup (44 soil samples), Silstrup (65 samples), and Jyndevad (87 samples). Detailed soil and site information for Estrup, Silstrup, and Jyndevad can be found in Lindhardt et al (2001), Masis‐Melendez et al (2014), Norgaard et al (2013), Paradelo et al (2015). Thus, the suggested PTF for predicting the K s (μm s −1 ) is

\log K_{normals} = (A {normalϕ}_{normale} - C) b

where b is the negative slope of the SWRC on a log‐log scale [log|ψ| vs. log(θ) system], and A and C are regression coefficients.…”

Section: Methodsmentioning

confidence: 99%

Combining Visible−Near‐Infrared and Pedotransfer Functions for Parameterization of Tile Drain Flow Simulations

Varvaris

Pittaki‐Chrysodonta

Møldrup³

et al. 2019

Vadose Zone Journal

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Core Ideas A concept was proposed to cover the absence of data on soil hydraulic properties. Effective parameterization of properties was achieved by integrating vis‐NIR and PTF. A hydrogeological model was used for simulating drainage discharge. Sensitivity analysis examined the uncertainty when varying the predicted parameters. Estimation of soil hydraulic parameters is essential when generating a hydrogeological model for simulating water flow dynamics in an agricultural field. However, estimation of the input parameters through direct measurements is time consuming and costly, and the spatial variability presents an uncertainty. Therefore, we proposed a rapid and inexpensive concept (integration of visible–near‐infrared spectroscopy [vis‐NIR] and a pedotransfer function [PTF]) to estimate hydraulic properties considering catchment scale. An existing vis‐NIR–predicted Campbell retention function was used for estimating the Campbell b parameter and the water content at −1000 cm H2O soil–water matric potential (log|−1000| = pF 3). A PTF was developed for predicting the saturated hydraulic conductivities using the vis‐NIR–predicted Campbell b and the effective porosity, defined as the difference in volumetric water contents at pF 0.3 and 3. The concept was evaluated by developing a hydrogeological model in HYDRUS‐2D software for simulating the tile drainage discharge from a clayey agricultural subcatchment in Denmark, using as input hydraulic parameters the output from the suggested approach. The suggested approach simulated the main attributes of the flow hydrograph with a reasonable degree of accuracy (R2 and RMSE values of 0.86 and 1.25 L s−1, respectively). A sensitivity analysis was performed to determine the response of the model to changes in values of predicted parameters when predicting the drainage discharge, and it showed that small variations (<10%) would not affect the predictive ability of the model.

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“…Models commonly use a relationship between the PM's D P and the free‐air gas diffusion coefficient ( D 0 ) (Chamindu Deepagoda et al, 2011; Massman, 1998), D P / D 0 , known as the gas diffusivity or the relative diffusivity (e.g., Masís‐Meléndez et al, 2014). The value of D 0 incorporates the effects of gas species and local temperature and pressure (Reid et al, 1987; Massman, 1998).…”

Section: Classical Models For the Prediction Of Relative Diffusivitymentioning

confidence: 99%

Measurement of Gas Diffusion Coefficient in Highly Permeable Porous Media

Levintal

Dragila

Kamai

et al. 2019

Vadose Zone Journal

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Core Ideas A modified method was used to quantify gas diffusion within coarse media. All data were highly correlated to an inverse solution of the diffusion equation. DP/D0 results were in the range of common DP/D0 predictive models. Observed increase in gas transport with permeability was named enhanced diffusion. Gas diffusion is a fundamental transport process in porous media. However, to date, there is no method for experimentally estimating the gas diffusion coefficient of coarse porous media. A modified method is proposed here and was validated against sand media. The method was tested using particle sizes ranging between 1 and 4 cm: ∼10−3 cm2 < intrinsic permeability < ∼10−2 cm2. Laboratory experiments were conducted in large horizontal columns filled with different homogeneous spherical particles inside a climate‐controlled laboratory under isothermal (± <0.2°C) and windless conditions. Diffusion coefficients were similar for particles sizes of 1 and 2 cm, which indicates that pure diffusion governs gas transport. Above 2 cm, diffusion coefficients were higher, suggesting an enhanced gas transport, most likely initiated by small, local advective components. Because the enhanced transport can be modeled by the diffusion equation using a larger diffusion coefficient, it is associated with the enhanced diffusion concept.

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Gas diffusion-derived tortuosity governs saturated hydraulic conductivity in sandy soils

Cited by 30 publications

References 36 publications

Characterization of diffusivity‐based oxygen transport in Arctic organic soil

Characterization of diffusivity‐based oxygen transport in Arctic organic soil

Combining Visible−Near‐Infrared and Pedotransfer Functions for Parameterization of Tile Drain Flow Simulations

Measurement of Gas Diffusion Coefficient in Highly Permeable Porous Media

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