Determining the Porosity and Saturated Hydraulic Conductivity of Binary Mixtures

Zhang, Fred; Ward, Anderson L.; Keller, J. M.

doi:10.2136/vzj2009.0138

Cited by 51 publications

(66 citation statements)

References 27 publications

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“…However, gravel content also has a significant impact on the soil porosity and hydraulic properties (Zhang et al 2011). It is hard to simulate the soil moisture state accurately in land models that neglect gravel, especially when the actual soil gravel content is large.…”

Section: Theorymentioning

confidence: 99%

“…Zhang et al (2011) conducted an experiment with a mixture of glass beads and fine soil and showed that the porosity of the mixture decreased linearly to a minimum value and then increased as the gravel fraction increased. However, several reports have noted that gravel cannot be neglected in calculating the amount of soil water retention, due to the fact that the pore structure of weathered gravel in particular is conducive to holding water (Ma and Shao 2008;Ravina and Magier 1984).…”

Section: Introductionmentioning

confidence: 99%

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Simulating the role of gravel in freeze–thaw process on the Qinghai–Tibet Plateau

Pan

Lyu

et al. 2015

Theor Appl Climatol

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Soils containing gravel (particle size ≥2 mm) are widely distributed over the Qinghai-Tibet Plateau (QTP). Soil mixed with gravel has different thermal and hydrological properties compared with fine soil (particle size <2 mm) and thus has marked impacts on soil water and heat transfer. However, the most commonly used land models do not consider the effects of gravel. This paper reports the development of a new scheme that simulates the thermal and hydrological processes in soil containing gravel and its application in the QTP. The new scheme was implemented in version 4 of the Community Land Model, and experiments were conducted for two typical sites in the QTP. The results showed that (1) soil with gravel tends to reduce the water holding capacity and enhance the hydraulic conductivity and drainage; (2) the thermal conductivity increases with soil gravel content, and the response of the temperature of soil mixed with gravel to air temperature change is rapid; (3) the new scheme performs well in simulating the soil temperature and moisture-the mean biases of soil moisture between the simulation and observation reduced by 25-48 %, and the mean biases of soil temperature reduced by 9-25 %. Therefore, this scheme can successfully simulate the thermal and hydrological processes in soil with different levels of gravel content and is potentially applicable in land surface models.

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Section: Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulating the role of gravel in freeze–thaw process on the Qinghai–Tibet Plateau

Pan

Lyu

et al. 2015

Theor Appl Climatol

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“…In summary, the interparticle forces determine soil pore conditions, and the interparticle forces depend on soil surface charges, electrolyte concentration and cationic polarization of the adsorbed counterions. In addition, particle‐size distribution is also an important factor affecting soil porosity (Wu et al ., ; Hwang & Choi, ; Zhang et al ., ; Sakaki & Smits, ). Therefore, soil water movement depends in a complex way on the interrelations between soil surface charges, electrolyte concentration, ionic polarization and particle‐size distribution.…”

Section: Introductionmentioning

confidence: 98%

Coupling effects of surface charges, adsorbed counterions and particle‐size distribution on soil water infiltration and transport

Gong

Tian

2018

European J Soil Science

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Summary Soil pores are the channels for water transport. The surface charges, the non‐classic polarizabilities and concentrations of the adsorbed counterions in a soil determine soil particle interaction forces that affect soil pore status. Particle‐size distribution is another important factor that affects soil pore status. Therefore, surface charges, adsorbed counterions and particle‐size distribution would probably be coupled in soil water transport. In this study, two soils with different surface charge densities, different adsorbed counterions and different particle‐size distributions were used to study their coupling effects on soil water movement. The results showed that these factors were strongly coupled in soil water movement. When the soil electric field strength was strong (depending on surface charges, adsorbed counterion polarizabilities and concentrations), the net interaction forces of soil particles was repulsive, thus soil aggregates could be broken. The degree of aggregate breakdown coupled with particle‐size distribution determined soil water movement. For this case we found that (i) increasing attractive forces of soil particles could greatly improve soil water movement and (ii) water movement was slow when the soil had large clay or small silt or sand contents. When the soil electric field was weak, the net interaction force of soil particles was attractive, thus aggregates could not be broken. For this case we found that (i) further increasing the attractive forces of soil particles could not improve soil water movement and (ii) water movement was fast when the soil had large clay or small silt or sand contents. Highlights Coupling effects of particle size and particle interactions on soil water movement are not clear. Large clay contents can decrease or increase soil water movement depending on soil particle interaction forces. Fast water movement occurred in soil with strongly polarized cations and large clay content. Particle interaction forces and particle‐size distribution were strongly coupled in soil water movement.

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“…(Barr, 2001;Bernabé et al, 2004;Dias et al, 2004;Dunning, 2005;Jarvis et al, 2002;Kamann et al, 2007;Morin, 2006;Morris and Johnson, 1967;Sperry and Peirce, 1995;Zhang et al, 2011). A similar type of analysis uses binary mixtures in laboratory experiments.…”

Section: Introductionmentioning

confidence: 99%

“…However it has been pointed out that the weak point of this method is the inability to duplicate ideal packing of large and small sediments, not to mention the infinite combinations. Research by Zhang et al (2011) based on glass beads to simulate sediments reassured us that results from laboratory testing either overestimate or underestimate effective porosity.…”

Section: Introductionmentioning

confidence: 99%

The application and revision of a new relationship to calculate effective porosity from specific capacity on a well database in the Pacific Northwest

Wilkinson

2012

Hydrological Research Letters

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Abstract:Previous unpublished research led to the establishment of a relationship between effective porosity and specific capacity, based on well construction data in a series of laboratory experiments. In this paper the relationship was tested on a regional aquifer system using data from 609 wells which met certain criteria. The relationship was applied to each well, with results showing that the relationship needed revision. The relationship was thus reevaluated and revised to produce results that reflected the conditions in the aquifer system which consisted of 9 layers of aquifers and aquitards of various lithologic descriptions, ranging from unconsolidated sediments to volcanic rocks. Average values of effective porosity could be calculated and the distribution of effective porosity was determined for each unit and compared with the original estimates. The result was a new relationship to determine effective porosity directly from specific capacity, which can be applied without detailed information on well construction or lithology. The new relationship is useful for distributing effective porosity within 2 or 3 dimensional groundwater and particle tracking models on a cell-by-cell basis. More importantly, the new relationship can be used to determine effective porosity for contaminant transport models.

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Determining the Porosity and Saturated Hydraulic Conductivity of Binary Mixtures

Cited by 51 publications

References 27 publications

Simulating the role of gravel in freeze–thaw process on the Qinghai–Tibet Plateau

Simulating the role of gravel in freeze–thaw process on the Qinghai–Tibet Plateau

Coupling effects of surface charges, adsorbed counterions and particle‐size distribution on soil water infiltration and transport

The application and revision of a new relationship to calculate effective porosity from specific capacity on a well database in the Pacific Northwest

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