Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods

The analysis of water flow in the earth subsurface is a vital issue to hydrogeology, environmental, geotechnical, and engineering studies. Despite this importance, less attention had been given to it which resulted in serious engineering and environmental hazard. This, therefore, necessitate the pre...

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Main Author:	Olugbenga, Adeeko Tajudeen
Format:	Thesis
Language:	English
Published:	2020
Subjects:	QC1 Physics (General)
Online Access:	http://eprints.usm.my/54995/1/ADEEKO%20TAJUDEEN%20OLUGBENGA%20-%20TESIS%20cut.pdf
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spelling	my-usm-ep.549952022-09-29T04:42:07Z Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods 2020-07 Olugbenga, Adeeko Tajudeen QC1 Physics (General) The analysis of water flow in the earth subsurface is a vital issue to hydrogeology, environmental, geotechnical, and engineering studies. Despite this importance, less attention had been given to it which resulted in serious engineering and environmental hazard. This, therefore, necessitate the present study to mitigate the problem. The research aimed to study the near surface geophysical imaging for shallow groundwater flow in Archaeology gallery, Perpustakaan Hamzah Sendut 2, Sungai Batu, Lojing, and Kluang district Southern Peninsular Malaysia. To achieve this aim, 2-D resistivity, self-potential, and geotechnical methods were employed. The results reveal that anomaly -140 to 0 mV of self-potential is likely to be shallow groundwater flow recharge (infiltration) which established by 2-D resistivity inversion with low resistivity <100 Ωm at depth <5 m that accumulated in the region, which possibly indicate the presence of sandy silt, sandy clay and sand with the correlation of the geological setting of the study areas. From the result of particle size distribution curve, soil types and other parameters that can influence hydraulic conductivity (K) were determined. Furthermore, the soil layers were unconsolidated ranges from coarse sand, medium sand and other finer sediments which enhance water flow due to porosity and hydraulic conductivity factors. The hydraulic conductivity result (0.00009 to 0.001 m/s) shows that the soil is permeable, which relate to self-potential magnitude (0.3 to 3.7) of moderate size length. The samples used in this study were poorly graded soil condition because uniformity coefficient (CU) is greater than 4. 2020-07 Thesis http://eprints.usm.my/54995/ http://eprints.usm.my/54995/1/ADEEKO%20TAJUDEEN%20OLUGBENGA%20-%20TESIS%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Fizik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QC1 Physics (General)
spellingShingle	QC1 Physics (General) Olugbenga, Adeeko Tajudeen Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods
description	The analysis of water flow in the earth subsurface is a vital issue to hydrogeology, environmental, geotechnical, and engineering studies. Despite this importance, less attention had been given to it which resulted in serious engineering and environmental hazard. This, therefore, necessitate the present study to mitigate the problem. The research aimed to study the near surface geophysical imaging for shallow groundwater flow in Archaeology gallery, Perpustakaan Hamzah Sendut 2, Sungai Batu, Lojing, and Kluang district Southern Peninsular Malaysia. To achieve this aim, 2-D resistivity, self-potential, and geotechnical methods were employed. The results reveal that anomaly -140 to 0 mV of self-potential is likely to be shallow groundwater flow recharge (infiltration) which established by 2-D resistivity inversion with low resistivity <100 Ωm at depth <5 m that accumulated in the region, which possibly indicate the presence of sandy silt, sandy clay and sand with the correlation of the geological setting of the study areas. From the result of particle size distribution curve, soil types and other parameters that can influence hydraulic conductivity (K) were determined. Furthermore, the soil layers were unconsolidated ranges from coarse sand, medium sand and other finer sediments which enhance water flow due to porosity and hydraulic conductivity factors. The hydraulic conductivity result (0.00009 to 0.001 m/s) shows that the soil is permeable, which relate to self-potential magnitude (0.3 to 3.7) of moderate size length. The samples used in this study were poorly graded soil condition because uniformity coefficient (CU) is greater than 4.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Olugbenga, Adeeko Tajudeen
author_facet	Olugbenga, Adeeko Tajudeen
author_sort	Olugbenga, Adeeko Tajudeen
title	Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods
title_short	Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods
title_full	Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods
title_fullStr	Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods
title_full_unstemmed	Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods
title_sort	near surface geophysical imaging for shallow groundwater flow evaluation using electrical resistivity and self-potential methods
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Fizik
publishDate	2020
url	http://eprints.usm.my/54995/1/ADEEKO%20TAJUDEEN%20OLUGBENGA%20-%20TESIS%20cut.pdf
_version_	1747822302727241728

Near Surface Geophysical Imaging For Shallow Groundwater Flow Evaluation Using Electrical Resistivity And Self-Potential Methods

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