The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors

The main objective of the study is to investigate the landslide probability map through internal and external causal factors. The most important internal causal factors of landslide (ICFL) are subsurface structure, groundwater, sliding subsurface and water movement whereas external causal factors...

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Main Author:	Al-Musawi, Hussein Abdelwahab Moussa
Format:	Thesis
Language:	English
Published:	2010
Subjects:	QC1 Physics (General)
Online Access:	http://eprints.usm.my/42275/1/Hussein_Abdelwahab_Moussa24.pdf
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id	my-usm-ep.42275
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spelling	my-usm-ep.422752019-04-12T05:26:52Z The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors 2010-05 Al-Musawi, Hussein Abdelwahab Moussa QC1 Physics (General) The main objective of the study is to investigate the landslide probability map through internal and external causal factors. The most important internal causal factors of landslide (ICFL) are subsurface structure, groundwater, sliding subsurface and water movement whereas external causal factors of landslide (ECFL) are slope angle, aspect of the slope, elevation of the slope and the land cover. Part of Karak highway in Malaysia has been selected for the study due to frequent occurrences of landslide. A new integration between Resistivity Imaging (RI), and Geographic Information System (GIS) were carried out to study the landslide in the target area. The RI has been used to find out the ICFL whereas the GIS was used to present the factors. Theodolite and GPS were used to determine the ECFL. Digital Elevation Model (DEM) and GIS were used to map the ECFL. Before applying the RI to find out the ICFL, a new approach called Monitoring and Enhancing Accuracy of Resistivity Imaging (MEARI) was suggested to increase the efficiency of the RI. Moreover, a comparison between the most common conventional arrays has also been carried out to find out the most suitable array for the study. 2010-05 Thesis http://eprints.usm.my/42275/ http://eprints.usm.my/42275/1/Hussein_Abdelwahab_Moussa24.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) Al-Musawi, Hussein Abdelwahab Moussa The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors
description	The main objective of the study is to investigate the landslide probability map through internal and external causal factors. The most important internal causal factors of landslide (ICFL) are subsurface structure, groundwater, sliding subsurface and water movement whereas external causal factors of landslide (ECFL) are slope angle, aspect of the slope, elevation of the slope and the land cover. Part of Karak highway in Malaysia has been selected for the study due to frequent occurrences of landslide. A new integration between Resistivity Imaging (RI), and Geographic Information System (GIS) were carried out to study the landslide in the target area. The RI has been used to find out the ICFL whereas the GIS was used to present the factors. Theodolite and GPS were used to determine the ECFL. Digital Elevation Model (DEM) and GIS were used to map the ECFL. Before applying the RI to find out the ICFL, a new approach called Monitoring and Enhancing Accuracy of Resistivity Imaging (MEARI) was suggested to increase the efficiency of the RI. Moreover, a comparison between the most common conventional arrays has also been carried out to find out the most suitable array for the study.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Al-Musawi, Hussein Abdelwahab Moussa
author_facet	Al-Musawi, Hussein Abdelwahab Moussa
author_sort	Al-Musawi, Hussein Abdelwahab Moussa
title	The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors
title_short	The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors
title_full	The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors
title_fullStr	The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors
title_full_unstemmed	The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors
title_sort	use of gis and resistivity imaging techniques to determine landslide probability based on internal and external causal factors
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Fizik
publishDate	2010
url	http://eprints.usm.my/42275/1/Hussein_Abdelwahab_Moussa24.pdf
_version_	1747821049124225024

The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors

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