Landslide Susceptibility Assessment using Frequency Ratio Model Applied to an Area along the E-W Highway (Gerik-Jeli) | Science Publications

American Journal of Environmental Sciences

Abdul G. Rafek¹  Ibrahim Abdullah¹  Tareq H. Mezughi¹  Juhari M. Akhir¹ 

关键词: Frequency Ratio (FR);    landslide causative factors;    landslide susceptibility;    East-West highway;    Landslide Susceptibility Index (LSI);    Digital Elevation Model (DEM);    Triangulated Irregular Network (TIN);    Unified Soil Classification System (USCS);    Plasticity Index (PI);    Liquid Limit (LL);    Area Under a Curve (AUC);   

DOI  :  10.3844/ajessp.2011.43.50

学科分类：环境科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: The study area is frequently subjected to landslides especially alongsidethe E-W high way. This study demonstrates the implementation of the Frequency Ratio (FR) model withthe aid of GIS tool to assess the contribution of every predisposing factor on landslides and produce alandslide susceptibility map to the area. Approach: A landslide location map of the study area wasprepared based on the interpretation of aerial photographs, previous landslide maps and field surveys. Inaddition, ten relevant thematic maps representing considered factors were extracted from the constructedspatial database. Slope gradient, slope aspect, elevation, distance to road and drainage density, all werecalculated from the topographic database; lithology, strata dip map and foliation dip map were generatedfrom the geologic database; lineament density was prepared from Landsat-7 (ETM+) satellite image; anda soil map was prepared from the soil database. Results: relationship between landslides and instabilityfactors was statistically evaluated by frequency ratio analysis. The results suggested that distance to road,lineament density and slope gradient are the most important factors effecting landslides. Frequency ratiovalues were used to produce the Landslide Susceptibility Index (LSI) with which the study area wasdivided into five zones of relative landslide susceptibility. Conclusion: The results of the analysis havebeen validated by calculating the AUC which shows an accuracy of 88.31% in the case of success ratecurve and 84.68 % in the case of the prediction rate curve, indicating a high quality susceptibility mapobtained from the FR model. The map could be used by decision makers as basic information for slopemanagement and land use planning.

【 授权许可】

Unknown