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...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.usm.my/42275/ http://eprints.usm.my/42275/1/Hussein_Abdelwahab_Moussa24.pdf |
| _version_ | 1848879515335393280 |
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| author | Al-Musawi, Hussein Abdelwahab Moussa |
| author_facet | Al-Musawi, Hussein Abdelwahab Moussa |
| author_sort | Al-Musawi, Hussein Abdelwahab Moussa |
| building | USM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T17:48:27Z |
| format | Thesis |
| id | usm-42275 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:48:27Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-422752019-04-12T05:26:52Z http://eprints.usm.my/42275/ The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors 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 NonPeerReviewed application/pdf en http://eprints.usm.my/42275/1/Hussein_Abdelwahab_Moussa24.pdf Al-Musawi, Hussein Abdelwahab Moussa (2010) The Use Of Gis And Resistivity Imaging Techniques To Determine Landslide Probability Based On Internal And External Causal Factors. PhD thesis, Universiti Sains Malaysia. |
| 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 |
| title | 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_short | 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 |
| topic | QC1 Physics (General) |
| url | http://eprints.usm.my/42275/ http://eprints.usm.my/42275/1/Hussein_Abdelwahab_Moussa24.pdf |