Geology and landslide susceptibility on top of Fraser Hill, Pahang using Geographic Information System (GIS)
Fraser Hill is located in Raub, Pahang, Malaysia which are vulnerable to geological hazard such as landslide which contribute to damage and loss. The study is located on top of Fraser Hill with the area covered of 5km² which aligned along latitude 3ᵒ 44’ 22.00” N - 3ᵒ 41’ 40.00” N and 101ᵒ 43’ 14.58...
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| Format: | Undergraduate Final Project Report |
| Language: | English |
| Published: |
2021
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| Online Access: | http://discol.umk.edu.my/id/eprint/11777/1/Mohd%20Rifqi%20Goh%20Yew%20Hwa.pdf http://discol.umk.edu.my/id/eprint/11777/ |
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| Summary: | Fraser Hill is located in Raub, Pahang, Malaysia which are vulnerable to geological hazard such as landslide which contribute to damage and loss. The study is located on top of Fraser Hill with the area covered of 5km² which aligned along latitude 3ᵒ 44’ 22.00” N - 3ᵒ 41’ 40.00” N and 101ᵒ 43’ 14.58” E - 101ᵒ 45’ 59.00” E. This research aims to update a geological map of Fraser Hill with scale 1:25000 and to produce a landslide susceptibility map. The factors that triggered the landslide on top of Fraser Hill were also analysed. The research on geological mapping which includes study of geomorphology, stratigraphy, structural geology and historical geology of the study area. Based on geological map identified two types of lithology which is granite rock and schist. The study is composed of two formation which is intrusion of Central Belt and Bentong Group. The parameters that caused the occurrence of landslide were determined and the landslide susceptibility map was produced using Weightage Overlay Method (WOM) in ArcGIS software. The results showed that the susceptibility map was classified into three zones which is low, moderate and high zone. The factor that triggered the landslide were identified which is heavy rainfall intensity. As a conclusion, the ability to detect landslide susceptibility leads to a better understanding of landslide mechanisms for the research area, thus leading to an enhanced identification of the most likely failure sites within a landslide-prone area. |
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