Landslides are the most frequent geohazard in highlandeous areas of the world. It influences human characteristics, infrastructure, scenery, along with manner of life in addition to everyday activities. Landslide susceptibility mapping is an essential component of ecological strategy that helps to lower the danger of landslides on properties and human habitations. In order to complete this analysis, the Landslide Inventory from BHUKOSH, which has information on 278 landslides. It also includes six elements that can result landslides, including both conditioning and triggering factors that were employed. There are numerous classifications for each related layer, some of which have a bigger impact on the probabilities of landslides than the others. The Weight of Evidence model ascertains that the slope classes between 10 and 85°, the concave, convex and flat classes of the curvature, the aspect classes of the north, northeast, south, and southwest directions, and the elevation classes range from 640 to 3180 m are the most impactful factor classes. There are several classes of land use and cover factor, and these classes influence the possibility of landslides in various manners whether directly or indirectly. As per the landslide susceptibility map, the areas classified as high, moderate, and low accounted for 3%, 51%, and 46% of the overall area, respectively.

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Landslide Susceptibility Mapping in the Karnaprayag, Uttarakhand Using the Weight of Evidence Method

  • Swati Chauhan,
  • Ashwani Jain,
  • Mahesh Pal

摘要

Landslides are the most frequent geohazard in highlandeous areas of the world. It influences human characteristics, infrastructure, scenery, along with manner of life in addition to everyday activities. Landslide susceptibility mapping is an essential component of ecological strategy that helps to lower the danger of landslides on properties and human habitations. In order to complete this analysis, the Landslide Inventory from BHUKOSH, which has information on 278 landslides. It also includes six elements that can result landslides, including both conditioning and triggering factors that were employed. There are numerous classifications for each related layer, some of which have a bigger impact on the probabilities of landslides than the others. The Weight of Evidence model ascertains that the slope classes between 10 and 85°, the concave, convex and flat classes of the curvature, the aspect classes of the north, northeast, south, and southwest directions, and the elevation classes range from 640 to 3180 m are the most impactful factor classes. There are several classes of land use and cover factor, and these classes influence the possibility of landslides in various manners whether directly or indirectly. As per the landslide susceptibility map, the areas classified as high, moderate, and low accounted for 3%, 51%, and 46% of the overall area, respectively.