Detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / Norlaila Hanim Salman

Subsurface contaminated by hydrocarbon is a pressing environmental issue with many industrial sites having some degree of near-surface pollution. The aim of the research is to investigate spectral content of GPR signal attenuation and scattering within the hydrocarbon contaminated site and to ana...

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Main Author: Salman, Norlaila Hanim
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/21758/1/TD_NORLAILA%20HANIM%20SALMAN%20AP%20R%2018_5.pdf
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spelling my-uitm-ir.217582018-10-04T04:24:46Z Detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / Norlaila Hanim Salman 2018-10-04 Salman, Norlaila Hanim Special types of environment. Including soil pollution, air pollution, noise pollution Electromagnetic fields Radar Subsurface contaminated by hydrocarbon is a pressing environmental issue with many industrial sites having some degree of near-surface pollution. The aim of the research is to investigate spectral content of GPR signal attenuation and scattering within the hydrocarbon contaminated site and to analyse the parameters of GPR. Non-invasive method, Ground Penetrating Radar (GPR), have been used widely. Their uses have tended to be restricted to plume mapping and contamination. GPR is an electromagnetic system used in non-destructive investigation of subsurface. It is based on the emission by an antenna coupled to the ground, of short electromagnetic pulses of harmonic waves sweeping a certain frequency band. In this research, the simulation of radar signals GPR, using Reflexw. The operation of this research is based on the investigation of hydrocarbon contaminated soil plume using electromagnetic wave by determining the parameters of GPR which is dielectric constant, permittivity, and permeability. The simulation has been performed on contaminated soil and it led to find that the electromagnetic waves are very sensitive to variations in the dielectric permittivity and electrical conductivity. The graphs produce in this thesis are used to simulate the real subsurface conditions, a comparison between the GPR response of clean and contaminated areas where the subsurface material contains and not contains hydrocarbon contaminants. The result shown contaminated material and noncontaminated material all exhibit different. Thus, GPR should be able to detect the signals for soil with and without contaminants. The spectral GPR responses and the recorded data can provide overview of the contaminant distribution. 2018-10 Thesis https://ir.uitm.edu.my/id/eprint/21758/ https://ir.uitm.edu.my/id/eprint/21758/1/TD_NORLAILA%20HANIM%20SALMAN%20AP%20R%2018_5.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Special types of environment
Including soil pollution, air pollution, noise pollution
Electromagnetic fields
Radar
spellingShingle Special types of environment
Including soil pollution, air pollution, noise pollution
Electromagnetic fields
Radar
Salman, Norlaila Hanim
Detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / Norlaila Hanim Salman
description Subsurface contaminated by hydrocarbon is a pressing environmental issue with many industrial sites having some degree of near-surface pollution. The aim of the research is to investigate spectral content of GPR signal attenuation and scattering within the hydrocarbon contaminated site and to analyse the parameters of GPR. Non-invasive method, Ground Penetrating Radar (GPR), have been used widely. Their uses have tended to be restricted to plume mapping and contamination. GPR is an electromagnetic system used in non-destructive investigation of subsurface. It is based on the emission by an antenna coupled to the ground, of short electromagnetic pulses of harmonic waves sweeping a certain frequency band. In this research, the simulation of radar signals GPR, using Reflexw. The operation of this research is based on the investigation of hydrocarbon contaminated soil plume using electromagnetic wave by determining the parameters of GPR which is dielectric constant, permittivity, and permeability. The simulation has been performed on contaminated soil and it led to find that the electromagnetic waves are very sensitive to variations in the dielectric permittivity and electrical conductivity. The graphs produce in this thesis are used to simulate the real subsurface conditions, a comparison between the GPR response of clean and contaminated areas where the subsurface material contains and not contains hydrocarbon contaminants. The result shown contaminated material and noncontaminated material all exhibit different. Thus, GPR should be able to detect the signals for soil with and without contaminants. The spectral GPR responses and the recorded data can provide overview of the contaminant distribution.
format Thesis
qualification_level Bachelor degree
author Salman, Norlaila Hanim
author_facet Salman, Norlaila Hanim
author_sort Salman, Norlaila Hanim
title Detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / Norlaila Hanim Salman
title_short Detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / Norlaila Hanim Salman
title_full Detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / Norlaila Hanim Salman
title_fullStr Detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / Norlaila Hanim Salman
title_full_unstemmed Detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / Norlaila Hanim Salman
title_sort detection of permeability of hydrocarbon contamination in subsurface using : electromagnetic wave / norlaila hanim salman
granting_institution Universiti Teknologi Mara Perlis
granting_department Faculty of Architecture, Planning and Surveying
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/21758/1/TD_NORLAILA%20HANIM%20SALMAN%20AP%20R%2018_5.pdf
_version_ 1783733772207783936