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Geology and landslide geohazard risk assessment using machine learning approach, etnobotany camp, Gua Musang, Kelantan


Citation

Muhammad Alif Anwar Mohd Amin Zaki (2022) Geology and landslide geohazard risk assessment using machine learning approach, etnobotany camp, Gua Musang, Kelantan. Final Year Project thesis, Universiti Malaysia Kelantan. (Submitted)

Abstract

Etnobotany Camp, Gua Musang, located in the south of Kelantan. The area is dotted with karst limestone around the area. It is in the Gua Musang Formation which ages from Middle Permian to Upper Triassic. The study area is located in Etnobotany Camp, Gua Musang with an area covered of 5km2 which aligned along latitude 4°48'56.782"N to 4°51'37.71"N and longitude 101°56'25.18"E to 101°59'6.98"E. The objectives of this study are to update the geological map of the study area with a scale of 1:25,000, to identify parameters that may contribute to landslide geohazard and to produce a landslide geohazard risk assessment map. The research involves the study of geomorphology, stratigraphy, structural geology and historical geology of the study area. The study area was composed of Gua Musang Formation which was divided into five lithology units. The parameters that caused the occurrence of the landslide were determined and the landslide geohazard risk assessment was produced using the Weightage Overlay Method (WOM) in ArcGIS software. In order to produce the landslide susceptibility map, 6 parameters were applied such as lithology, slope, aspect, lineament density, drainage density, and resistivity. These parameters were used to produce the thematic maps and weightage has been assigned to these thematic maps of parameters. Results showed that the susceptibility map was classified into three zones which is low, moderate and high zone. In a conclusion, the ability to detect landslide susceptibility led to a better understanding of landslide mechanisms for the research area, thus leading to enhanced identification of the most likely failure sites within a landslide-prone area.

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Additional Metadata

Item Type: Undergraduate Final Project Report
Collection Type: Final Year Project
Date: 2022
Number of Pages: 104
Call Number: SEG 2022/004
Supervisor: Puan Zaitul Zahira Binti Ghali @ Ghazali
Programme: Bachelor of Applied Science (Geoscience)
Institution: Universiti Malaysia Kelantan
Faculty/Centre/Office: Faculty of Earth Sciences
URI: http://discol.umk.edu.my/id/eprint/17228
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