Prediction of soil solution electrical conductivity by the permittivity corrected linear model using a dielectric sensor
(2017) In Journal of Irrigation and Drainage Engineering 143(8).- Abstract
In the present study, the electrical conductivity of the soil solution (σp) was predicted using a linear model in which the bulk soilelectrical conductivity (σb) effect on the apparent dielectric permittivity (εs) was considered. The performance of the proposed model wasevaluated by measurements with a dielectric sensor (the WET sensor) in four porous media at four different levels of electrical conductivity ofthe moistening KCl solution (σw). It was found that the relationship between the square root of the permittivity (εs) and soil volumetric watercontent (θ) was dependent on soil type, which is consistent with the low operating frequency of the sensor. Establishing a soil... (More)
In the present study, the electrical conductivity of the soil solution (σp) was predicted using a linear model in which the bulk soilelectrical conductivity (σb) effect on the apparent dielectric permittivity (εs) was considered. The performance of the proposed model wasevaluated by measurements with a dielectric sensor (the WET sensor) in four porous media at four different levels of electrical conductivity ofthe moistening KCl solution (σw). It was found that the relationship between the square root of the permittivity (εs) and soil volumetric watercontent (θ) was dependent on soil type, which is consistent with the low operating frequency of the sensor. Establishing a soil specific θm-√εsrelationship substantially increased the θ measurement accuracy compared to the factory calibration. It was shown that the new approach forthe σp prediction gave reasonably accurate results in sands irrespective of the σp values. For the finer porous media, it improved the predictionof σp only for the higher salinity levels, but the σp values appear to be underestimated. The relationship between the corrected dielectricpermittivity εR and σb is strongly linear for σw and σb values up to 6 and 1.7 dS · m-1, respectively.
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- author
- Kargas, George ; Persson, Magnus LU ; Kanelis, George ; Markopoulou, Ioanna and Kerkides, Petros
- organization
- publishing date
- 2017-08-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Bulk electrical conductivity, Linear model, Permittivity, Salinity
- in
- Journal of Irrigation and Drainage Engineering
- volume
- 143
- issue
- 8
- article number
- 04017030
- publisher
- American Society of Civil Engineers (ASCE)
- external identifiers
-
- scopus:85020671012
- wos:000408355300015
- ISSN
- 0733-9437
- DOI
- 10.1061/(ASCE)IR.1943-4774.0001210
- language
- English
- LU publication?
- yes
- id
- f84cc95f-85d3-4e41-a656-a27cf59e5dd7
- date added to LUP
- 2017-07-04 08:03:36
- date last changed
- 2024-05-12 16:51:01
@article{f84cc95f-85d3-4e41-a656-a27cf59e5dd7,
abstract = {{<p>In the present study, the electrical conductivity of the soil solution (σ<sub>p</sub>) was predicted using a linear model in which the bulk soilelectrical conductivity (σ<sub>b</sub>) effect on the apparent dielectric permittivity (ε<sub>s</sub>) was considered. The performance of the proposed model wasevaluated by measurements with a dielectric sensor (the WET sensor) in four porous media at four different levels of electrical conductivity ofthe moistening KCl solution (σ<sub>w</sub>). It was found that the relationship between the square root of the permittivity (ε<sub>s</sub>) and soil volumetric watercontent (θ) was dependent on soil type, which is consistent with the low operating frequency of the sensor. Establishing a soil specific θ<sub>m</sub>-√ε<sub>s</sub>relationship substantially increased the θ measurement accuracy compared to the factory calibration. It was shown that the new approach forthe σ<sub>p</sub> prediction gave reasonably accurate results in sands irrespective of the σ<sub>p</sub> values. For the finer porous media, it improved the predictionof σ<sub>p</sub> only for the higher salinity levels, but the σ<sub>p</sub> values appear to be underestimated. The relationship between the corrected dielectricpermittivity ε<sub>R</sub> and σ<sub>b</sub> is strongly linear for σ<sub>w</sub> and σ<sub>b</sub> values up to 6 and 1.7 dS · m<sup>-1</sup>, respectively.</p>}},
author = {{Kargas, George and Persson, Magnus and Kanelis, George and Markopoulou, Ioanna and Kerkides, Petros}},
issn = {{0733-9437}},
keywords = {{Bulk electrical conductivity; Linear model; Permittivity; Salinity}},
language = {{eng}},
month = {{08}},
number = {{8}},
publisher = {{American Society of Civil Engineers (ASCE)}},
series = {{Journal of Irrigation and Drainage Engineering}},
title = {{Prediction of soil solution electrical conductivity by the permittivity corrected linear model using a dielectric sensor}},
url = {{http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0001210}},
doi = {{10.1061/(ASCE)IR.1943-4774.0001210}},
volume = {{143}},
year = {{2017}},
}