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<p>This study develops a landslide susceptibility map (LSM) for Aizawl district, Mizoram, India, using the Frequency Ratio (FR) method. Twelve causative factors—slope angle, aspect, curvature, drainage density, distance from roads, distance from drainage, land use/land cover (LULC), precipitation, lineament density, geological features, earthquake magnitude, and distance from faults—were analyzed to assess their spatial relationship with landslide occurrences. Landslide inventories, combined with these factors, were applied in the FR framework to generate susceptibility maps. The analysis indicates that LULC, precipitation, and slope exert the highest influence on landslide occurrence. The final maps classify the district into five susceptibility zones: Very Low (20.20%), Low (33.59%), Medium (25.33%), High (15.30%), and Very High (5.58%), based on the polygon method; similar results were obtained using the point method. The Very High and High Susceptibility zones encompass most of Aizawl city, the state capital. Validation with recent landslide events demonstrates that 64.59% (polygon method) and 92.54% (point method) of new landslides occurred within the combined High and Very High zones, thereby corroborating the accuracy of the susceptibility maps generated.</p>

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Landslide Susceptibility Mapping of Aizawl District Using a Multi Factor Frequency Ratio Approach

  • 期刊论文

  • 发表日期：

    2025年12月20日

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  • Malsawmzuali,
  • Sukanta Das,
  • Debjit Bhowmik

摘要

This study develops a landslide susceptibility map (LSM) for Aizawl district, Mizoram, India, using the Frequency Ratio (FR) method. Twelve causative factors—slope angle, aspect, curvature, drainage density, distance from roads, distance from drainage, land use/land cover (LULC), precipitation, lineament density, geological features, earthquake magnitude, and distance from faults—were analyzed to assess their spatial relationship with landslide occurrences. Landslide inventories, combined with these factors, were applied in the FR framework to generate susceptibility maps. The analysis indicates that LULC, precipitation, and slope exert the highest influence on landslide occurrence. The final maps classify the district into five susceptibility zones: Very Low (20.20%), Low (33.59%), Medium (25.33%), High (15.30%), and Very High (5.58%), based on the polygon method; similar results were obtained using the point method. The Very High and High Susceptibility zones encompass most of Aizawl city, the state capital. Validation with recent landslide events demonstrates that 64.59% (polygon method) and 92.54% (point method) of new landslides occurred within the combined High and Very High zones, thereby corroborating the accuracy of the susceptibility maps generated.