Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri

The most crucial parameter to be investigated for environmental engineering survey was the dielectric permittivity of the sub-surface material by using Ground Penetrating Radar (GPR). A limitation occurred on the GPR result when Light Non-Aqueous Phase Liquid (LNAPL) posed into the soil that commonl...

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Main Author: Kasmuri, Zulfadhli
Format: Thesis
Language:English
Published: 2018
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Online Access:http://ir.uitm.edu.my/id/eprint/20973/1/TD_ZULFADHLI%20KASMURI%20AP_R%2018_5.pdf
http://ir.uitm.edu.my/id/eprint/20973/
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spelling my.uitm.ir.209732018-08-15T01:16:52Z http://ir.uitm.edu.my/id/eprint/20973/ Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri Kasmuri, Zulfadhli Geomatics Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation QE Geology The most crucial parameter to be investigated for environmental engineering survey was the dielectric permittivity of the sub-surface material by using Ground Penetrating Radar (GPR). A limitation occurred on the GPR result when Light Non-Aqueous Phase Liquid (LNAPL) posed into the soil that commonly analysed by dielectric permittivity. Other factors that affected soil contamination parameter were temperature and moisture content which caused the dielectric permittivity diversity in time propagation. This research motivated the contaminated soil investigation with a focus on the temporal dielectric permittivity variation due to the presence of LNAPL. GPR method was used to gain the dielectric permittivity variation with aid of analysis regarding the time-based of LNAPL presence that interacted relatively with the soil moisture and temperature. Diesel filled to contaminate the dry sandy site. GPR measurement carried out by using 800MHz frequency while the temperature and soil moisture reading recorded during scanning. Dielectric permittivity of LNAPL zone retrieved based on dielectric contrast in radargram, GPR signal amplitude, time travel, and electromagnetic wave velocity. Uncontaminated soil permittivity was 9.591 among 13.5% of moisture and 27 ̊c temperature recorded. Highest dielectric permittivity value identified was 17.674 at the higher moisture percentage and temperature in the last observation. LNAPL caused a high loss of electromagnetic wave scattering, but sometimes increased the radar signal amplitude, and lead the dielectric permittivity to its higher value for larger increment of soil moisture at the saturated sand. By using the average of absolute percentage error, found that the difference between actual and calculated depth of pipe were 0.038% error in average. Root Mean Square (RMS) in velocity analysis resulted 0.045 m/ns correction for a succession of velocity. Normalised Root Mean Square Error (NRMSE) produced 0.089 of similarity between the de-noised and raw GPR data. This research attributed analysis uses for the subsurface engineering and comes about reliable with discoveries from geophysical study that conceivable to recognize contaminant. 2018-08-02 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/20973/1/TD_ZULFADHLI%20KASMURI%20AP_R%2018_5.pdf Kasmuri, Zulfadhli (2018) Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri. Degree thesis, Universiti Teknologi Mara Perlis.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Geomatics
Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation
QE Geology
spellingShingle Geomatics
Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation
QE Geology
Kasmuri, Zulfadhli
Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri
description The most crucial parameter to be investigated for environmental engineering survey was the dielectric permittivity of the sub-surface material by using Ground Penetrating Radar (GPR). A limitation occurred on the GPR result when Light Non-Aqueous Phase Liquid (LNAPL) posed into the soil that commonly analysed by dielectric permittivity. Other factors that affected soil contamination parameter were temperature and moisture content which caused the dielectric permittivity diversity in time propagation. This research motivated the contaminated soil investigation with a focus on the temporal dielectric permittivity variation due to the presence of LNAPL. GPR method was used to gain the dielectric permittivity variation with aid of analysis regarding the time-based of LNAPL presence that interacted relatively with the soil moisture and temperature. Diesel filled to contaminate the dry sandy site. GPR measurement carried out by using 800MHz frequency while the temperature and soil moisture reading recorded during scanning. Dielectric permittivity of LNAPL zone retrieved based on dielectric contrast in radargram, GPR signal amplitude, time travel, and electromagnetic wave velocity. Uncontaminated soil permittivity was 9.591 among 13.5% of moisture and 27 ̊c temperature recorded. Highest dielectric permittivity value identified was 17.674 at the higher moisture percentage and temperature in the last observation. LNAPL caused a high loss of electromagnetic wave scattering, but sometimes increased the radar signal amplitude, and lead the dielectric permittivity to its higher value for larger increment of soil moisture at the saturated sand. By using the average of absolute percentage error, found that the difference between actual and calculated depth of pipe were 0.038% error in average. Root Mean Square (RMS) in velocity analysis resulted 0.045 m/ns correction for a succession of velocity. Normalised Root Mean Square Error (NRMSE) produced 0.089 of similarity between the de-noised and raw GPR data. This research attributed analysis uses for the subsurface engineering and comes about reliable with discoveries from geophysical study that conceivable to recognize contaminant.
format Thesis
author Kasmuri, Zulfadhli
author_facet Kasmuri, Zulfadhli
author_sort Kasmuri, Zulfadhli
title Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri
title_short Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri
title_full Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri
title_fullStr Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri
title_full_unstemmed Investigation of dielectric permittivity diversity against soil contamination by [GPR] due to [LNAPL] / Zulfadhli Kasmuri
title_sort investigation of dielectric permittivity diversity against soil contamination by [gpr] due to [lnapl] / zulfadhli kasmuri
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/20973/1/TD_ZULFADHLI%20KASMURI%20AP_R%2018_5.pdf
http://ir.uitm.edu.my/id/eprint/20973/
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score 13.18916