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On the laboratory calibration of dielectric permittivity models for agricultural soils: Effect of systematic porosity variation

Pan, Xicai; Han, Yudi; Chun, Kwok Pan; Zhang, Jiabao; Ma, Donghao; Gao, Hongkai

On the laboratory calibration of dielectric permittivity models for agricultural soils: Effect of systematic porosity variation Thumbnail


Authors

Xicai Pan

Yudi Han

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Dr Kwok Chun Kwok.Chun@uwe.ac.uk
Lecturer in Environmental Managment

Jiabao Zhang

Donghao Ma

Hongkai Gao



Abstract

Dielectric techniques are fundamental methods for measuring soil water content, and they commonly rely on the conventional laboratory calibration of the dielectric permittivity models between a dielectric constant and water content. As a non-negligible factor, porosity has been constructed differently in some models as a calibration constant, but the systematic porosity variations during the laboratory model calibration and field applications are not yet well addressed. Based on time-domain reflectometer laboratory calibration experiments, this study investigated this issue using three preestablished dielectric permittivity models: the Purdue calibration equation (American Society for Testing and Materials model [ASTM]), the complex refractive index model (CRIM), and a piecewise CRIM model (CRIMP). Results demonstrate that a generalized porosity constant used in the calibration would bring in additional structural bias compared with the calibration using variable porosities, and its magnitude varies with the model structure. The deviation of the generalized porosity constant can further amplify the structural bias of ASTM and CRIM for soils with low clay content, but it is insensitive for the soils with high clay content due to the overwhelming role of model structure error. Only the model CRIMP with a “perfect” model structure can effectively cope with the systematic porosity variation and keep a stable built-in capability for estimating calibration constants from readily available soil data. These findings highlight ignoring porosity variation should not be taken for granted for calibrating and applying the preestablished models.

Citation

Pan, X., Han, Y., Chun, K. P., Zhang, J., Ma, D., & Gao, H. (2021). On the laboratory calibration of dielectric permittivity models for agricultural soils: Effect of systematic porosity variation. Vadose Zone Journal, 20(1), Article e20096. https://doi.org/10.1002/vzj2.20096

Journal Article Type Article
Acceptance Date Sep 15, 2020
Online Publication Date Jan 12, 2021
Publication Date 2021-02
Deposit Date Jan 19, 2022
Publicly Available Date Mar 29, 2024
Journal Vadose Zone Journal
Electronic ISSN 1539-1663
Publisher Soil Science Society of America
Peer Reviewed Peer Reviewed
Volume 20
Issue 1
Article Number e20096
DOI https://doi.org/10.1002/vzj2.20096
Public URL https://uwe-repository.worktribe.com/output/8545535

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