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

Maxwell–Wagner relaxation clayey soil dielectric sensors dielectric spectroscopy mixing model soil moisture two-phase modeling

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
22 Nov 2020
Historique:
received: 13 10 2020
revised: 30 10 2020
accepted: 06 11 2020
entrez: 3 12 2020
pubmed: 4 12 2020
medline: 4 12 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33266418
pii: s20226678
doi: 10.3390/s20226678
pmc: PMC7700415
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministerio de Ciencia e Innovación
ID : AGL2016-77282-C33-R
Organisme : European Agricultural Fund for Rural Development
ID : PID2019-106226-C22
Organisme : Ministerio de Educación y Formación Profesional
ID : FPU17/05155
Organisme : Narodowa Agencja Wymiany Akademickiej
ID : PPI/APM/2018/1/00048/U/001
Organisme : Internal Mobility Programme for doctoral students of the Universidad Politécnica de Cartagena (Spain)
ID : JDGT
Organisme : Natural Environment Research Council
ID : NE/R016429/1 as part 511 of the UK-ScaPE Programme Delivering National Capability

Références

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Auteurs

Juan D González-Teruel (JD)

Department of Automatics, Electrical Engineering and Electronic Technology, Technical University of Cartagena, 30202 Murcia, Spain.

Scott B Jones (SB)

Department Plants, Soils and Climate, Utah State University, Logan, UT 84322, USA.

Fulgencio Soto-Valles (F)

Department of Automatics, Electrical Engineering and Electronic Technology, Technical University of Cartagena, 30202 Murcia, Spain.

Roque Torres-Sánchez (R)

Department of Automatics, Electrical Engineering and Electronic Technology, Technical University of Cartagena, 30202 Murcia, Spain.

Inmaculada Lebron (I)

UK Centre for Ecology and Hydrology, ECW, Bangor LL572UW, UK.

Shmulik P Friedman (SP)

Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, Rishon LeZion 7505101, Israel.

David A Robinson (DA)

Department Plants, Soils and Climate, Utah State University, Logan, UT 84322, USA.
UK Centre for Ecology and Hydrology, ECW, Bangor LL572UW, UK.

Classifications MeSH