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A Novel Dielectric Tomography System for In-Situ Tracking Three-Dimensional Soil Water Dynamics

In this study, we developed a novel dielectric tomography system for in-situ tracking three-dimensional (3D) soil water dynamics. The system was designed to control a single dielectric tube sensor that automatically lowered in a PVC tube array installed in-situ to determine the water content of a so...

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Detalles Bibliográficos
Autores principales: Yu, Song, Chen, Chao, Xu, Qiang, Cheng, Qiang, Yan, Xiaofei, Yu, Zhou, Ma, Yihan, Chen, Haonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163917/
https://www.ncbi.nlm.nih.gov/pubmed/30200339
http://dx.doi.org/10.3390/s18092880
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author Yu, Song
Chen, Chao
Xu, Qiang
Cheng, Qiang
Yan, Xiaofei
Yu, Zhou
Ma, Yihan
Chen, Haonan
author_facet Yu, Song
Chen, Chao
Xu, Qiang
Cheng, Qiang
Yan, Xiaofei
Yu, Zhou
Ma, Yihan
Chen, Haonan
author_sort Yu, Song
collection PubMed
description In this study, we developed a novel dielectric tomography system for in-situ tracking three-dimensional (3D) soil water dynamics. The system was designed to control a single dielectric tube sensor that automatically lowered in a PVC tube array installed in-situ to determine the water content of a soil profile, which eliminated probe-to-probe uncertainties and labor costs. Two tests for evaluating the novel system were conducted (i) to analyze and correct the positional error of the probe due to out-of-step errors of stepper motors, and (ii) to track and visualize 3D soil water temporal variations in a soil tank with heterogenetic bulk densities and initial water contents under drip irrigation. The results show that the positioning correcting algorithm combined with starting point alignment can minimize the positioning error of the probe during the 3D tomography. The single drip emitter test illustrated spatial and temporal variations of soil water content due to heterogeneous soil properties in vertical and horizontal directions around the access tube array. Based on these data, 3D distributions of soil water dynamics were visualized. The developed tomography system has potential application to be extended to the local scale in a greenhouse or the large scale in an agricultural field. Future research should explore the performance for agricultural crop irrigation or for modeling and validating soil water flow or hydrological process under either steady state or non-steady state condition.
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spelling pubmed-61639172018-10-10 A Novel Dielectric Tomography System for In-Situ Tracking Three-Dimensional Soil Water Dynamics Yu, Song Chen, Chao Xu, Qiang Cheng, Qiang Yan, Xiaofei Yu, Zhou Ma, Yihan Chen, Haonan Sensors (Basel) Article In this study, we developed a novel dielectric tomography system for in-situ tracking three-dimensional (3D) soil water dynamics. The system was designed to control a single dielectric tube sensor that automatically lowered in a PVC tube array installed in-situ to determine the water content of a soil profile, which eliminated probe-to-probe uncertainties and labor costs. Two tests for evaluating the novel system were conducted (i) to analyze and correct the positional error of the probe due to out-of-step errors of stepper motors, and (ii) to track and visualize 3D soil water temporal variations in a soil tank with heterogenetic bulk densities and initial water contents under drip irrigation. The results show that the positioning correcting algorithm combined with starting point alignment can minimize the positioning error of the probe during the 3D tomography. The single drip emitter test illustrated spatial and temporal variations of soil water content due to heterogeneous soil properties in vertical and horizontal directions around the access tube array. Based on these data, 3D distributions of soil water dynamics were visualized. The developed tomography system has potential application to be extended to the local scale in a greenhouse or the large scale in an agricultural field. Future research should explore the performance for agricultural crop irrigation or for modeling and validating soil water flow or hydrological process under either steady state or non-steady state condition. MDPI 2018-08-31 /pmc/articles/PMC6163917/ /pubmed/30200339 http://dx.doi.org/10.3390/s18092880 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Song
Chen, Chao
Xu, Qiang
Cheng, Qiang
Yan, Xiaofei
Yu, Zhou
Ma, Yihan
Chen, Haonan
A Novel Dielectric Tomography System for In-Situ Tracking Three-Dimensional Soil Water Dynamics
title A Novel Dielectric Tomography System for In-Situ Tracking Three-Dimensional Soil Water Dynamics
title_full A Novel Dielectric Tomography System for In-Situ Tracking Three-Dimensional Soil Water Dynamics
title_fullStr A Novel Dielectric Tomography System for In-Situ Tracking Three-Dimensional Soil Water Dynamics
title_full_unstemmed A Novel Dielectric Tomography System for In-Situ Tracking Three-Dimensional Soil Water Dynamics
title_short A Novel Dielectric Tomography System for In-Situ Tracking Three-Dimensional Soil Water Dynamics
title_sort novel dielectric tomography system for in-situ tracking three-dimensional soil water dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163917/
https://www.ncbi.nlm.nih.gov/pubmed/30200339
http://dx.doi.org/10.3390/s18092880
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