Landslide susceptibility assessment using frequency ratio model applied to an area along the E-W highway (Gerik-Jeli)

Tareq H. Mezughi, Juhari Mat Akhir, Abdul Ghani Rafek, Ibrahim Abdullah

    Research output: Contribution to journalArticle

    23 Citations (Scopus)

    Abstract

    Problem statement: The study area is frequently subjected to landslides especially alongside the E-W high way. This study demonstrates the implementation of the Frequency Ratio (FR) model with the aid of GIS tool to assess the contribution of every predisposing factor on landslides and produce a landslide susceptibility map to the area. Approach: A landslide location map of the study area was prepared based on the interpretation of aerial photographs, previous landslide maps and field surveys. In addition, ten relevant thematic maps representing considered factors were extracted from the constructed spatial database. Slope gradient, slope aspect, elevation, distance to road and drainage density, all were calculated from the topographic database; lithology, strata dip map and foliation dip map were generated from the geologic database; lineament density was prepared from Landsat-7 (ETM+) satellite image; and a soil map was prepared from the soil database. Results: relationship between landslides and instability factors 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 ratio values were used to produce the Landslide Susceptibility Index (LSI) with which the study area was divided into five zones of relative landslide susceptibility. Conclusion: The results of the analysis have been validated by calculating the AUC which shows an accuracy of 88.31% in the case of success rate curve and 84.68 % in the case of the prediction rate curve, indicating a high quality susceptibility map obtained from the FR model. The map could be used by decision makers as basic information for slope management and land use planning.

    Original languageEnglish
    Pages (from-to)43-50
    Number of pages8
    JournalAmerican Journal of Environmental Sciences
    Volume7
    Issue number1
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Landslides
    landslide
    road
    lineament
    Soils
    Lithology
    land use planning
    foliation
    aerial photograph
    Land use
    Geographic information systems
    field survey
    Drainage
    Landsat
    dip
    lithology
    GIS
    Satellites
    drainage
    Antennas

    Keywords

    • Area under a curve (AUC)
    • Digital elevation model (DEM)
    • East-west highway
    • Frequency ratio (FR)
    • Landslide causative factors
    • Landslide susceptibility
    • Landslide susceptibility index (LSI)
    • Liquid limit (LL)
    • Plasticity index (PI)
    • Triangulated irregular network (TIN)
    • Unified soil classification system (USCS)

    ASJC Scopus subject areas

    • Pollution
    • Ecology

    Cite this

    Landslide susceptibility assessment using frequency ratio model applied to an area along the E-W highway (Gerik-Jeli). / Mezughi, Tareq H.; Akhir, Juhari Mat; Rafek, Abdul Ghani; Abdullah, Ibrahim.

    In: American Journal of Environmental Sciences, Vol. 7, No. 1, 2011, p. 43-50.

    Research output: Contribution to journalArticle

    Mezughi, Tareq H. ; Akhir, Juhari Mat ; Rafek, Abdul Ghani ; Abdullah, Ibrahim. / Landslide susceptibility assessment using frequency ratio model applied to an area along the E-W highway (Gerik-Jeli). In: American Journal of Environmental Sciences. 2011 ; Vol. 7, No. 1. pp. 43-50.
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    abstract = "Problem statement: The study area is frequently subjected to landslides especially alongside the E-W high way. This study demonstrates the implementation of the Frequency Ratio (FR) model with the aid of GIS tool to assess the contribution of every predisposing factor on landslides and produce a landslide susceptibility map to the area. Approach: A landslide location map of the study area was prepared based on the interpretation of aerial photographs, previous landslide maps and field surveys. In addition, ten relevant thematic maps representing considered factors were extracted from the constructed spatial database. Slope gradient, slope aspect, elevation, distance to road and drainage density, all were calculated from the topographic database; lithology, strata dip map and foliation dip map were generated from the geologic database; lineament density was prepared from Landsat-7 (ETM+) satellite image; and a soil map was prepared from the soil database. Results: relationship between landslides and instability factors 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 ratio values were used to produce the Landslide Susceptibility Index (LSI) with which the study area was divided into five zones of relative landslide susceptibility. Conclusion: The results of the analysis have been validated by calculating the AUC which shows an accuracy of 88.31{\%} in the case of success rate curve and 84.68 {\%} in the case of the prediction rate curve, indicating a high quality susceptibility map obtained from the FR model. The map could be used by decision makers as basic information for slope management and land use planning.",
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