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This study delves into the assessment of landslide susceptibility in a monsoon-prone region within the Western Ghats of Kerala, India. The research employs an integrated approach utilizing the Analytical Hierarchy Process (AHP), remote sensing, and GIS to generate a comprehensive susceptibility map. Nine crucial factors, including geomorphology, slope, proximity to roads, drainage, soil composition, land use patterns, and precipitation, are meticulously weighted through AHP. Based on AHP analyses, the study area (4612 km2) is classified into five risk categories: Very Low Risk (678.90 km2, 15.60%), Low Risk (684.61 km2, 15.73%), Moderate Risk (1055.68 km2, 24.26%), High Risk (1142.69 km2, 26.26%), and Very High Risk (790.02 km2, 18.15%). The last three categories together encompass 68.67% of the area, identifying the most hazardous regions which require immediate mitigation measures for slope protection. Validation through correlation with historical landslides establishes the reliability of the map for future land use planning. It notably identifies various types of landslides, including rock falls and debris flows, which pose substantial risks such as road blockages, disrupted supply lines, and reservoir sedimentation. Persistent rainfall and unsustainable land use are significant vulnerability factors. This research underscores the ongoing necessity for the evaluation and mitigation of landslide hazards in this susceptible region, emphasizing the critical role of informed land use planning to mitigate potential risks.

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Landslide Susceptibility Modeling Using Integrated Geospatial and AHP Approaches: A Case Study in Idukki District, India

  • 章节

  • 发表日期：

    2026年

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  • Kongeswaran Thangaraj,
  • Prabakaran Kulandaisamy,
  • Sivakumar Karthikeyan,
  • Muthuramalingam Rajendran,
  • Muruganantham Arumugam,
  • Perumal Velmayil,
  • Venkatramanan Senapathi,
  • Bangaru Priyanga Sundaram

摘要

This study delves into the assessment of landslide susceptibility in a monsoon-prone region within the Western Ghats of Kerala, India. The research employs an integrated approach utilizing the Analytical Hierarchy Process (AHP), remote sensing, and GIS to generate a comprehensive susceptibility map. Nine crucial factors, including geomorphology, slope, proximity to roads, drainage, soil composition, land use patterns, and precipitation, are meticulously weighted through AHP. Based on AHP analyses, the study area (4612 km2) is classified into five risk categories: Very Low Risk (678.90 km2, 15.60%), Low Risk (684.61 km2, 15.73%), Moderate Risk (1055.68 km2, 24.26%), High Risk (1142.69 km2, 26.26%), and Very High Risk (790.02 km2, 18.15%). The last three categories together encompass 68.67% of the area, identifying the most hazardous regions which require immediate mitigation measures for slope protection. Validation through correlation with historical landslides establishes the reliability of the map for future land use planning. It notably identifies various types of landslides, including rock falls and debris flows, which pose substantial risks such as road blockages, disrupted supply lines, and reservoir sedimentation. Persistent rainfall and unsustainable land use are significant vulnerability factors. This research underscores the ongoing necessity for the evaluation and mitigation of landslide hazards in this susceptible region, emphasizing the critical role of informed land use planning to mitigate potential risks.