Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves

Estimated relative permittivity performed on soil is essential for forecasting the performance of Ground Penetrating Radar (GPR) in an in-depth manner. This study investigated and verified the empirical relationship model between relative permittivity and volumetric water content in soil to predict...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Author: Ghazali M.D.; Zainon O.; Mohsin R.; Idris K.M.; Mustafa N.
Format: Conference paper
Language:English
Published: Institute of Physics Publishing 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090145930&doi=10.1088%2f1755-1315%2f540%2f1%2f012056&partnerID=40&md5=ad173410a470f5974591c9a23615aa7f
id 2-s2.0-85090145930
spelling 2-s2.0-85090145930
Ghazali M.D.; Zainon O.; Mohsin R.; Idris K.M.; Mustafa N.
Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves
2020
IOP Conference Series: Earth and Environmental Science
540
1
10.1088/1755-1315/540/1/012056
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090145930&doi=10.1088%2f1755-1315%2f540%2f1%2f012056&partnerID=40&md5=ad173410a470f5974591c9a23615aa7f
Estimated relative permittivity performed on soil is essential for forecasting the performance of Ground Penetrating Radar (GPR) in an in-depth manner. This study investigated and verified the empirical relationship model between relative permittivity and volumetric water content in soil to predict the relative permittivity of contaminated laterite soil. In this study, a 24-hour measurement involving 800 MHz shielded antenna GPR was carried out in a concrete simulation field tank filled with Terap Red soil (1.5 m x 2.6 m x 1.5 m) at UiTM Perlis, Malaysia. Embedded moisture content probe was simultaneously measured to monitor the response of volumetric water content in contaminated soil in order to formulate an empirical relationship between relative permittivity and moisture content. The GPR data were pre-processed and filtered with Reflexw 7.5, while regression analysis was performed to evaluate the empirical relationship model. The model outcomes were retrieved from a number of cross-validation schemes, including correlation analysis (R2), root mean square error (RMSE), and calibrated Agilent Technologies Automated Vector Analyser (VNA). A third-order polynomial for analysis of variance (ANOVA) best fitted the model with positively strong correlation (R2=0.989, N=24, P < 0.01) and RMSE 0.003< RMSEpredicted < 0.19. Verification of the proposed model using calibrated VNA displayed exceptional agreement between 0.06% comparisons. © Published under licence by IOP Publishing Ltd.
Institute of Physics Publishing
17551307
English
Conference paper
All Open Access; Gold Open Access
author Ghazali M.D.; Zainon O.; Mohsin R.; Idris K.M.; Mustafa N.
spellingShingle Ghazali M.D.; Zainon O.; Mohsin R.; Idris K.M.; Mustafa N.
Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves
author_facet Ghazali M.D.; Zainon O.; Mohsin R.; Idris K.M.; Mustafa N.
author_sort Ghazali M.D.; Zainon O.; Mohsin R.; Idris K.M.; Mustafa N.
title Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves
title_short Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves
title_full Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves
title_fullStr Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves
title_full_unstemmed Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves
title_sort Estimated relative permittivity of contaminated laterite soil: An empirical model for GPR waves
publishDate 2020
container_title IOP Conference Series: Earth and Environmental Science
container_volume 540
container_issue 1
doi_str_mv 10.1088/1755-1315/540/1/012056
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090145930&doi=10.1088%2f1755-1315%2f540%2f1%2f012056&partnerID=40&md5=ad173410a470f5974591c9a23615aa7f
description Estimated relative permittivity performed on soil is essential for forecasting the performance of Ground Penetrating Radar (GPR) in an in-depth manner. This study investigated and verified the empirical relationship model between relative permittivity and volumetric water content in soil to predict the relative permittivity of contaminated laterite soil. In this study, a 24-hour measurement involving 800 MHz shielded antenna GPR was carried out in a concrete simulation field tank filled with Terap Red soil (1.5 m x 2.6 m x 1.5 m) at UiTM Perlis, Malaysia. Embedded moisture content probe was simultaneously measured to monitor the response of volumetric water content in contaminated soil in order to formulate an empirical relationship between relative permittivity and moisture content. The GPR data were pre-processed and filtered with Reflexw 7.5, while regression analysis was performed to evaluate the empirical relationship model. The model outcomes were retrieved from a number of cross-validation schemes, including correlation analysis (R2), root mean square error (RMSE), and calibrated Agilent Technologies Automated Vector Analyser (VNA). A third-order polynomial for analysis of variance (ANOVA) best fitted the model with positively strong correlation (R2=0.989, N=24, P < 0.01) and RMSE 0.003< RMSEpredicted < 0.19. Verification of the proposed model using calibrated VNA displayed exceptional agreement between 0.06% comparisons. © Published under licence by IOP Publishing Ltd.
publisher Institute of Physics Publishing
issn 17551307
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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