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Use of Different Bivariate Statistical Landslide Susceptibility Methods: A Case Study of Kulekhani Watershed, Nepal

Summary

The study aimed to use GIS and statistical evaluation to identify areas prone to landslides based on their potential failure risks. The methodology involved using a bivariate statistical model for landslide susceptibility analysis and assessing its limitations. The paper compared five susceptibility maps created with the same parameters but using different methodologies, highlighting variations in landslide susceptibility zoning.

Categories:

Journal, Report


Publisher:

Journal of Nepal Geological Society


Published Year:

2012