Open AccessLandslide susceptibility assessment using geographic information system in Aring, Gua Musang, Kelantan
Author(s) -
Wani Sofia Udin,
N N Yahaya,
Saidah Izzati Mohd Shariffuddin
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/842/1/012008
Subject(s) - landslide , lineament , geology , hazard , lithology , geographic information system , elevation (ballistics) , digital elevation model , hazard map , drainage density , cartography , class (philosophy) , mining engineering , remote sensing , seismology , geomorphology , geography , tectonics , computer science , structural basin , artificial intelligence , engineering , paleontology , chemistry , organic chemistry , structural engineering
Aring lies in Gua Musang District, Kelantan which is prone to geological risks like rock falls and slides. In some regions, it is also prone to landslides, which can result in fatalities and property damage such as houses and vehicles. The goal of this research is to assess landslide causative factors and create a landslide susceptibility map. The Digital Elevation Model (DEM) was used to determine the causative factors: aspect, slope, elevation, and drainage density while the lithology was based on a geological map, and the lineament was calculated using satellite data. Weighted Overlay Method (WOM) analysis was used to combine these weighted causative factor maps into a Geographic Information System (GIS) The landslipe susceptibility map was divided into three categories. Low hazard is class 1, medium hazard is class 2, and high hazard is class 3. As a conclusion, the capacity to estimate landslide susceptibility leads to a greater understanding of landslide mechanisms, allowing for better prevention of the most likely failure locations within a landslide-prone area in the future.