Effects of physical properties on electrical conductivity of compacted lateritic soil

Bai, Wei; Kong, Lingwei; Ai-guo, Guo

doi:10.1016/j.jrmge.2013.07.003

Cited by 145 publications

(72 citation statements)

References 8 publications

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“…The soil temperature was taken into account within the temperature factor for the EC 25 . Due to a lack of real temperature variations within the performed measurements no impact of the temperature on the electrical or thermal conductivity could have been identified although there should be an effect (Bai et al, 2013, Giordano et al, 2013. For the thermal conductivity there are at least equations for unfrozen and frozen conditions (Kersten, 1949).…”

Section: Discussionmentioning

confidence: 99%

“…Most of them are small-scale laboratory configurations, which barely allow comparing/ comparison of geoelectrical measurements on a laboratory scale with ERT field data. To achieve real electrical conductivity values, by measuring on a small scale or with small specimens, the electrical conductivity needs to be calibrated (Bai et al, 2013;Kaufhold et al, 2014). Due to the lack of a normalised specification (Giao et al, 2003;Giordano et al, 2013) and the different focus, all these approaches are in a different shape.…”

Section: (10)mentioning

confidence: 99%

“…Due to this relationship the electrical conductivity can be used for evaluating volumetric water content (Friedman, 2005;Sheets and Hendrickx, 1995). The apparent soil electrical conductivity can be influenced by soluble salts, clay content, mineralogy, soil water content, bulk density, organic matter, and soil temperature (Bai et al, 2013;Corwin and Lesch, 2005). Therefore, the electrical conductivity can also be used to map several pedological properties.…”

Section: Introductionmentioning

confidence: 99%

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Laboratory device to analyse the impact of soil properties on electrical and thermal conductivity

Bertermann¹,

Schwarz²

2017

International Agrophysics

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Gathering information about soil properties in an efficient way is essential for many soil applications also for very shallow geothermal systems (e.g. collector systems or heat baskets). In the field, electrical resistivity tomogramphy measurements enable non-invasive and extensive analyses regarding the determination of soil properties. For a better understanding of measured electrical resistivity values in relation to soil properties within this study, a laboratory setup was developed. The structure of this laboratory setup is geared to gather electrical resistivity or rather electrical conductivity values which are directly comparable to data measured in the field. Within this setup grain size distribution, moisture content, and bulk density, which are the most important soil parameters affecting the electrical resistivity, can be adjusted. In terms of a better estimation of the geothermal capability of soil, thermal conductivity measurements were also implemented within the laboratory test sequence. The generated data reveals the serious influence of the water content and also provides a huge impact of the bulk density on the electrical as well as on the thermal conductivity. Furthermore, different behaviour patterns of electrical and thermal conductivity in their particular relation to the different soil parameters could be identified.

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Section: Discussionmentioning

confidence: 99%

Section: (10)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Laboratory device to analyse the impact of soil properties on electrical and thermal conductivity

Bertermann¹,

Schwarz²

2017

International Agrophysics

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“…Moreover, few researchers have used soil EC to investigate anisotropy effects (McCarter and Desmazes, 1997) and liquefaction potential of soils (Arulanandan and Muraleetharan, 1988). It can be concluded that soil EC is affected by soil composition (mineralogy and particle size distribution), structure (porosity and pore size distribution) and water content (Bai et al, 2013;Cardoso and Dias, 2017). It can be concluded that soil EC is affected by soil composition (mineralogy and particle size distribution), structure (porosity and pore size distribution) and water content (Bai et al, 2013;Cardoso and Dias, 2017).…”

Section: Introductionmentioning

confidence: 99%

Investigating plant root effects on soil electrical conductivity: An integrated field monitoring and statistical modelling approach

Cheng

Bordoloi

et al. 2018

Earth Surf Processes Landf

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Plants have been shown to affect soil water content and temperature. Previous studies were conducted mainly in forestry and agricultural soils, where conditions of soil and vegetation are different from those in an urban landscape. In an urban landscape, the influence of plant roots on electrical conductivity, soil water content and temperature is still not clear. This study aims to investigate the effects of soil water content and temperature on electrical conductivity in vegetated soils through an integrated field monitoring and computational modelling approach. A new relationship between soil electrical conductivity and water content as well as temperature is proposed. Field monitoring was conducted in both vegetated (tree species) and bare soils. The monitoring included measurements of soil water content, soil temperature and soil electrical conductivity. This was followed by response surface regression modelling. Measured results show that soil temperature at shallow depths was lower in vegetated soil than that in the bare soil. This observation was also consistent with the higher soil water content and hence, higher electrical conductivity under tree canopy. The model developed could predict nonlinear relationships between electrical conductivity and soil temperature and water content. Uncertainty analysis indicated normal distribution for electrical conductivity under variation of soil temperature and water content. © 2018 John Wiley & Sons, Ltd.

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“…Later it was applied to various engineering fields such as mining, agriculture, environment, archeology, hydrogeology and geotechnics (Siddiqui and Osman, 2012). Different types of soils have different electrical properties due to the composition, structure, water content, and temperature (Bai et al, 2013). Archie (1942) suggested an empirical correlation using laboratory measurements of clean sand stone samples.…”

Section: Introductionmentioning

confidence: 99%

Non-destructive experimental testing and modeling of electrical impedance behavior of untreated and treated ultra-soft clayey soils

Raheem

Vipulanandan

Joshaghani

2017

Journal of Rock Mechanics and Geotechnical Engineering

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Please cite this article as: Raheem AM, Vipulanandan C, Joshaghani MS, Non-destructive experimental testing and modeling of electrical impedance behavior of untreated and treated ultra-soft clayey soils, Abstract: The characterization of ultra-soft clayey soil exhibits extreme challenges due to low shear strength of such material. Hence, inspecting the non-destructive electrical impedance behavior of untreated and treated ultra-soft clayey soils gains more attention. Both shear strength and electrical impedance were measured experimentally for both untreated and treated ultra-soft clayey soils. The shear strength of untreated ultra-soft clayey soil reached 0.17 kPa for 10% bentonite content, while the shear strengths increased to 0.27 kPa and 6.7 kPa for 10% bentonite content treated with 2% lime and 10% polymer, respectively. The electrical impedance of the ultra-soft clayey soil has shown a significant decrease from 1.6 kΩ to 0.607 kΩ when the bentonite content increased from 2% to 10% at a frequency of 300 kHz. The 10% lime and 10% polymer treatments have decreased the electrical impedances of ultra-soft clayey soil with 10% bentonite from 0.607 kΩ to 0.12 kΩ and 0.176 kΩ, respectively, at a frequency of 300 kHz. A new mathematical model has been accordingly proposed to model the non-destructive electrical impedance-frequency relationship for both untreated and treated ultra-soft clayey soils. The new model has shown a good agreement with experimental data with coefficient of determination (R 2 ) up to 0.99 and root mean square error (RMSE) of 0.007 kΩ.

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Effects of physical properties on electrical conductivity of compacted lateritic soil

Cited by 145 publications

References 8 publications

Laboratory device to analyse the impact of soil properties on electrical and thermal conductivity

Laboratory device to analyse the impact of soil properties on electrical and thermal conductivity

Investigating plant root effects on soil electrical conductivity: An integrated field monitoring and statistical modelling approach

Non-destructive experimental testing and modeling of electrical impedance behavior of untreated and treated ultra-soft clayey soils

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