Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey Soils

The number of sensors, ground-based and remote, exploiting the relationship between soil dielectric response and soil water content continues to grow. Empirical expressions for this relationship generally work well in coarse-textured soils but can break down for high-surface area and intricate mater...

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Main Authors: Juan D. González-Teruel, Scott B. Jones, Fulgencio Soto-Valles, Roque Torres-Sánchez, Inmaculada Lebron, Shmulik P. Friedman, David A. Robinson
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/22/6678
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spelling doaj-bc5afde1a981434d8f0434224b68ef582020-11-25T04:09:53ZengMDPI AGSensors1424-82202020-11-01206678667810.3390/s20226678Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey SoilsJuan D. González-Teruel0Scott B. Jones1Fulgencio Soto-Valles2Roque Torres-Sánchez3Inmaculada Lebron4Shmulik P. Friedman5David A. Robinson6Department of Automatics, Electrical Engineering and Electronic Technology, Technical University of Cartagena, 30202 Murcia, SpainDepartment Plants, Soils and Climate, Utah State University, Logan, UT 84322, USADepartment of Automatics, Electrical Engineering and Electronic Technology, Technical University of Cartagena, 30202 Murcia, SpainDepartment of Automatics, Electrical Engineering and Electronic Technology, Technical University of Cartagena, 30202 Murcia, SpainUK Centre for Ecology and Hydrology, ECW, Bangor LL572UW, UKInstitute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Rishon LeZion 7505101, IsraelDepartment Plants, Soils and Climate, Utah State University, Logan, UT 84322, USAThe number of sensors, ground-based and remote, exploiting the relationship between soil dielectric response and soil water content continues to grow. Empirical expressions for this relationship generally work well in coarse-textured soils but can break down for high-surface area and intricate materials such as clayey soils. Dielectric mixing models are helpful for exploring mechanisms and developing new understanding of the dielectric response in porous media that do not conform to a simple empirical approach, such as clayey soils. Here, we explore the dielectric response of clay minerals and clayey soils using the mixing model approach in the frequency domain. Our modeling focuses on the use of mixing models to explore geometrical effects. New spectroscopic data are presented for clay minerals (talc, kaolinite, illite and montmorillonite) and soils dominated by these clay minerals in the 1 MHz–6 GHz bandwidth. We also present a new typology for the way water is held in soils that we hope will act as a framework for furthering discussion on sensor design. We found that the frequency-domain response can be mostly accounted for by adjusting model structural parameters, which needs to be conducted to describe the Maxwell–Wagner (MW) relaxation effects. The work supports the importance of accounting for soil structural properties to understand and predict soil dielectric response and ultimately to find models that can describe the dielectric–water content relationship in fine-textured soils measured with sensors.https://www.mdpi.com/1424-8220/20/22/6678dielectric sensorsdielectric spectroscopyclayey soilmixing modelMaxwell–Wagner relaxationtwo-phase modeling
collection DOAJ
language English
format Article
sources DOAJ
author Juan D. González-Teruel
Scott B. Jones
Fulgencio Soto-Valles
Roque Torres-Sánchez
Inmaculada Lebron
Shmulik P. Friedman
David A. Robinson
spellingShingle Juan D. González-Teruel
Scott B. Jones
Fulgencio Soto-Valles
Roque Torres-Sánchez
Inmaculada Lebron
Shmulik P. Friedman
David A. Robinson
Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey Soils
Sensors
dielectric sensors
dielectric spectroscopy
clayey soil
mixing model
Maxwell–Wagner relaxation
two-phase modeling
author_facet Juan D. González-Teruel
Scott B. Jones
Fulgencio Soto-Valles
Roque Torres-Sánchez
Inmaculada Lebron
Shmulik P. Friedman
David A. Robinson
author_sort Juan D. González-Teruel
title Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey Soils
title_short Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey Soils
title_full Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey Soils
title_fullStr Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey Soils
title_full_unstemmed Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey Soils
title_sort dielectric spectroscopy and application of mixing models describing dielectric dispersion in clay minerals and clayey soils
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-11-01
description The number of sensors, ground-based and remote, exploiting the relationship between soil dielectric response and soil water content continues to grow. Empirical expressions for this relationship generally work well in coarse-textured soils but can break down for high-surface area and intricate materials such as clayey soils. Dielectric mixing models are helpful for exploring mechanisms and developing new understanding of the dielectric response in porous media that do not conform to a simple empirical approach, such as clayey soils. Here, we explore the dielectric response of clay minerals and clayey soils using the mixing model approach in the frequency domain. Our modeling focuses on the use of mixing models to explore geometrical effects. New spectroscopic data are presented for clay minerals (talc, kaolinite, illite and montmorillonite) and soils dominated by these clay minerals in the 1 MHz–6 GHz bandwidth. We also present a new typology for the way water is held in soils that we hope will act as a framework for furthering discussion on sensor design. We found that the frequency-domain response can be mostly accounted for by adjusting model structural parameters, which needs to be conducted to describe the Maxwell–Wagner (MW) relaxation effects. The work supports the importance of accounting for soil structural properties to understand and predict soil dielectric response and ultimately to find models that can describe the dielectric–water content relationship in fine-textured soils measured with sensors.
topic dielectric sensors
dielectric spectroscopy
clayey soil
mixing model
Maxwell–Wagner relaxation
two-phase modeling
url https://www.mdpi.com/1424-8220/20/22/6678
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