A Theory of the Complex Dielectric Permittivity of Soil Containing Water: The Semidisperse Model

Wobschall, Darold

doi:10.1109/tge.1977.294513

Cited by 93 publications

(20 citation statements)

References 6 publications

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“…Concrete can be considered to be a mixture of water, air, sand and coarse materials. The relative permittivity of the water is about 81 depending on the temperature [29]. The relative dielectric constant of the air can be approximated to the dielectric constant of the vacuum, 1.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

GPR evaluation of the damage found in the reinforced concrete base of a block of flats: A case study

Pérez-Gracia

García

Abad

2008

NDT & E International

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Section: Theoretical Backgroundmentioning

confidence: 99%

GPR evaluation of the damage found in the reinforced concrete base of a block of flats: A case study

Pérez-Gracia

García

Abad

2008

NDT & E International

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“…The permittivity of soils depends on the volumetric content and permittivity of each phase, particle shape and orientation, phase distribution, interaction between phases and the frequency of measurements (Endres and Knight, 1991;Robinson and Friedman, 2002;Wobschall, 1977). In the megahertz frequency range a relaxation of soil permittivity arises when electrical charges accumulate at interfaces and borders (Arulanandan and Smith, 1973).…”

Section: Complex Permittivity Of Soilsmentioning

confidence: 99%

Measuring the dielectric properties of soil–organic mixtures using coaxial impedance dielectric reflectometry

Francisca

Montoro

2012

Journal of Applied Geophysics

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“…The model discussed is extended to the VHF range and compared with actual measurements taken as given in [7,8]. The equation describing the complex dielectric constant is given in equation 4.…”

Section: A) B)mentioning

confidence: 99%

High resolution subsurface imaging of deep targets based on distributed sensor networks

Dagefu

Sarabandi

2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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A realistic forward model based on a near-ground distributed sensor grid for a target buried under soil is devised. The soil medium is modeled as a planar stratified medium with a complex dielectric constant profile. The Dyadic Green's function for multilayer dielectric is used to compute the electric field at the target. A high resolution inversion algorithm based on phaseconjugation approach to detect deeply submerged targets is also presented. The sensor network is setup to enhance the lateral resolution by forming a synthetic aperture. The depth resolution is improved by using bandwidth. So as to improve the efficiency of the search algorithm a soil dielectric model to predict the real and imaginary parts of the dielectric constant from the volumetric soil moisture for a given soil textural composition is extended to the frequency of interest (VHF) resulting in less number of variables.

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A Theory of the Complex Dielectric Permittivity of Soil Containing Water: The Semidisperse Model

Cited by 93 publications

References 6 publications

GPR evaluation of the damage found in the reinforced concrete base of a block of flats: A case study

GPR evaluation of the damage found in the reinforced concrete base of a block of flats: A case study

Measuring the dielectric properties of soil–organic mixtures using coaxial impedance dielectric reflectometry

High resolution subsurface imaging of deep targets based on distributed sensor networks

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