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Title: | Remote sensing and GIS methods for landslide hazard assessment along the road from Cameron Highland, Pahang to Gua Musang, Kelantan, Malaysia |
Authors: | Mohammed Mohammed Saleh Gahgah (P30360) |
Supervisor: | Juhari Mat Akhir, Assoc. Prof. Dr. |
Keywords: | Universiti Kebangsaan Malaysia -- Dissertations Dissertations, Academic -- Malaysia Landslide hazard analysis Geographic information systems |
Issue Date: | 15-Mar-2009 |
Description: | Landslides around the world create huge economic losses and disruption, and often also lead to loss of life. The impacts of landslide in social and economic losses can be reduced by effective management based on a landslide hazard assessment. The purposes of this study are to establish landslide's database in the area, and to assess landslide based on remote sensing (RS) and geographical information system (GIS) approach. The area along the road between Cameron Highland and Gua Musang district in south west Kelantan has been selected for that purpose. This study builds the essential spatial database of landslides using GIS techniques. In this study, the data required for landslide hazard assessment have been determined as landslide related factors in the area which are lithology, slope, digital elevation model (DEM), lineaments density, soil, drainage density, rainfall, aspect and landuse. For all these factors, maps have been produced and standardized in a digital database format using ILWIS 3.3 software as a GIS technique. Landsat TM image was corrected, enhanced and interpreted to produce lineaments map. In term of the trend of the lineaments, they showed good and coincident results with ground measurements. The main trend of directions for both of lineaments and the structures measured in the field are dominated by two major trends that are NW-SE and NNE-SSW. A soil map of the study area has been produced. Landslide inventory map of the study area has been produced based on interpretation of aerial photographs and field investigations. Only eight landslide related factors which are lithology, lineament density, slope, DEM, drainage density, road distance, rainfall, and soil type had been used in the modelling to produce landslide potential map. There have been a number of methodologies developed for better identifying and understanding of landslides. In this study the qualitative relationships between landslides and factors causing landslides are established. Based on the contribution of those factors to landslides occurrence the weightage values were given and then combined through an 'Index overlay with multi class maps' calculation. Landslide potential map of the scale 1: 50,000 was produced. Final results from this study have shown as landslide hazard zonation map which classified the study area to five hazard zones: very low hazard cover 17.27%, low hazard 39.35%, moderate hazard 25.1%, 15.35 % from the area located in high hazard and only 2.93% very high hazard. The resulting landslide hazard potential map provides useful information and economic benefits for the future works such as urban development and planning, engineering applications, and land-use potential planning in the region. Based on this study remote sensing and GIS provides useful applications to produce thematic data layer, and are easier to analyze digitally. The statistical analyses for the relationships between those factors and landslides showed that among the eight factors, lithology, slope and elevation factors were found to be the most significant causes for the occurrence of landslides in the study area and rainfall is the main external triggering factor for landslide. Toppling, translational slide and rotational slide are the main landslide types recorded in the area.,Certification of Master's / Doctorial Thesis" is not available |
Pages: | 282 |
Call Number: | QE599.2.G334 2009 tesis |
Publisher: | UKM, Bangi |
Appears in Collections: | Faculty of Science and Technology / Fakulti Sains dan Teknologi |
Files in This Item:
File | Description | Size | Format | |
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ukmvital_120764+SOURCE1+SOURCE1.0.PDF Restricted Access | 8.61 MB | Adobe PDF | View/Open |
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