Impact of soil texture on air‐water interfacial areas in unsaturated sandy porous media

Peng, Sheng; Brusseau, Mark L.

doi:10.1029/2004wr003233

Cited by 84 publications

(110 citation statements)

References 24 publications

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“…On the contrary, the model from Faulkner et al (2003) decreases in A AWI with decreasing S e , showing that the model does not follow the observed trend (Figure 2(b)). In the case of the model from Peng and Brusseau (2005), A AWI remains constant with change of S e , indicating that the model is not able to describe the observed trend (Figure 2(c)). …”

Section: Evaluation Of Awi Area Modelsmentioning

confidence: 76%

“…In addition, Peng and Brusseau (2005) have derived the following equation for the AWI area estimation as:…”

Section: Bacterial Transport Equationsmentioning

confidence: 99%

“…But, the model included some empirical parameters that are not readily determined from experiments. Recently, some researchers have provided the AWI area models (Niemet et al, 2002;Faulkner et al, 2003;Peng and Brusseau, 2005), comprized of parameters that are readily determined from the van Genuchten model for the relationship between unsaturated hydraulic conductivity, water content and pressure head (van Genuchten, 1980). The objective of this study is to develop the bacterial transport model into which the AWI area model is incorporated.…”

Section: Introductionmentioning

confidence: 99%

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Bacteria transport in an unsaturated porous media: incorporation of air–water interface area model into transport modelling

Kim

Park

2007

Hydrological Processes

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Abstract:The bacterial transport model into which the air-water interface (AWI) area model is incorporated is developed in this study. At the outset, the AWI area models are analysed to determine the appropriate model. In the analysis, three models are evaluated with the previously reported experimental data, and the modified form of the Niemet et al. (2002) model is selected as an appropriate AWI area model, which is then combined into the transport model. The bacterial transport model is used to fit the bacterial breakthrough data in an unsaturated porous media from the literature, and the fitting results show that the model matches well with the observed data at three different air contents by varying the specific AWI area. On the basis of the sorption-related parameters determined from the literature, simulations are performed to examine bacterial transport in three different soils under unsaturated and transient flow conditions. The results illustrate that bacteria can travel to different depths in unsaturated soils depending on the soil type and water content. Even if the predictive model presented in this study is not comprehensive, it will help to understand bacterial transport behaviour in an unsaturated porous media.

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Section: Evaluation Of Awi Area Modelsmentioning

confidence: 76%

“…In addition, Peng and Brusseau (2005) have derived the following equation for the AWI area estimation as:…”

Section: Bacterial Transport Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bacteria transport in an unsaturated porous media: incorporation of air–water interface area model into transport modelling

Kim

Park

2007

Hydrological Processes

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“…It is also important to describe the flow of liquids in the porous material. [6,7] The interfacial area of two immiscible fluids inside a porous media can be measured by two main methods: 1) the interfacial tracer technique [8][9][10][11][11][12][13][14][15] and 2) high-resolution microtomography [16][17][18]. On the other hand, numerical simulations and theoretical models are useful to gain a better understanding of the shape and extent of the interface and its relationship with parameters as porosity, grain size and contact angle.…”

Section: Introductionmentioning

confidence: 99%

Simulation of liquid–liquid interfaces in porous media

García

Boulet

Denoyel

et al. 2016

Colloids and Surfaces A: Physicochemical and Engineering Aspect

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Graphical abstractHighlights  Incidence of porous membrane structure on the interface extent between two liquids has been studied  The numerical model was generated by using the Lubachevsky-Stilliger algorithm. The simulated annealing method was applied to minimize the energy of the liquid-liquid interface  A systematic study of the effect of the contact angle on the liquid-liquid interface has been performed. The contact angle and porosity are the most important properties controlling the extent of liquid-liquid interfaces. AbstractThe properties of the interface of two immiscible fluids play an important role in several processes such as membrane supported liquid extraction, enhance oil recovery, aquifer remediation, etc. In this paper the spatial distribution of two immiscible liquids in non-dispersive contact via a porous media is studied by using numerical simulations. The simulations are carried at pore-scale by minimizing the total interfacial energy using the simulated annealing method. This technique allows us to compute the spatial distribution of fluids in the pores without assuming the geometry of the solid or the interface. The studied solids are made of randomly packed spheres either monodispersed or bi-dispersed. The effect of pore size distribution, tortuosity, porosity and contact angle on the liquid-liquid interface extent and geometry is analyzed. The simulations demonstrate that liquid-liquid interface follows a simple linear correlation with the contact angle. At low contact angle the wetting phase extents into the non-wetting phase forming pendular liquid bridges.The continuity of the phases is evaluated. The liquid-liquid interface is mostly continuous for all the contact angles.

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“…The interfacial area distribution is dictated by the morphology of pores and solid surfaces that define the pore spaces and the resulting capillary pressure distribution in the medium [Leverett, 1941]. The use of interfacial area in describing tortuosity and connectivity is attractive because, unlike Burdine (S e 2 ) and Mualem (S e 0.5 ) empirical models, interfacial area in unsaturated media can be quantified and measured [e.g., Cary, 1994;Karkare and Fort, 1996;Kim et al, 1997;Saripalli et al, 1997;Tuller and Or, 2002;Brusseau et al, 2003;Peng and Brusseau, 2005]. The distribution of fluids at the pore scale as well as the pore morphology determines the interfacial area; it is therefore reasonable to expect that conductivities of immiscible fluids in unsaturated media are functions of interfacial area [Gvirtzman and Roberts, 1991;Alpak et al, 1999;Silverstein and Fort, 2000;Tuller and Or, 2002;Zand-Parsa, 2006].…”

Section: Introductionmentioning

confidence: 99%

Interfacial area based variable tortuosity‐connectivity for unsaturated media: A comparison using Miller–Miller scaling and Arya–Paris model

Khaleel

2008

Water Resources Research

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[1] The tortuosity and/or pore connectivity factor, t, in unsaturated media is typically represented by S e e , where S e = effective saturation. The exponent e is treated as an optimized parameter with typical values of 0.5 and 2, respectively, for Mualem and Burdine-type models. In this study, the tortuosity and/or connectivity term in Mualem and Burdine models is replaced by a normalized ratio, t(S e = 1) / t(S e ); t(S e ) is the ratio of air-water interfacial area for a soil sample to the interfacial area for the corresponding idealized capillary bundle. The interfacial area for a soil sample is based on Leverett's (1941) thermodynamic considerations and is obtained by integrating the area under the laboratory-measured moisture retention curve. In addition to Miller-Miller scaling used in an earlier work, the idealized medium retention curve in this study is based on translation via the Arya-Paris (AP) model of the particle size distribution data for a soil sample into its pore size distribution. The saturation-dependent, variable tortuosity concept is tested for 24 fine-textured samples in addition to 22 coarse-textured samples considered in the earlier study. For both fine-and coarse-textured samples, the interfacial area based variable t(S e ) formulation provides at least as good a fit of the measured and predicted unsaturated hydraulic conductivities, K, as a function of moisture content, q, as the standard Brooks-Corey-Burdine and van Genuchten-Mualem models. Specifically, for the fine-textured samples, Brooks-Corey-Burdine K(q) predictions based on the variable t(S e ) model compare well with K(q) measurements, with an r 2 of 0.86, a regression slope of 1.02, and a relatively low residual mean squared deviation of 1.13. Unlike the Burdine (S e 2 ) and Mualem (S e 0.5 ) empirical models, the t(S e )-based model parameters have explicit physical significance because the interfacial area in unsaturated media can be measured using interfacial tracers. The use of the AP model to represent the idealized medium retention data suggests its broader applicability for both fine-and coarse-textured media.

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Impact of soil texture on air‐water interfacial areas in unsaturated sandy porous media

Cited by 84 publications

References 24 publications

Bacteria transport in an unsaturated porous media: incorporation of air–water interface area model into transport modelling

Bacteria transport in an unsaturated porous media: incorporation of air–water interface area model into transport modelling

Simulation of liquid–liquid interfaces in porous media

Interfacial area based variable tortuosity‐connectivity for unsaturated media: A comparison using Miller–Miller scaling and Arya–Paris model

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