The present study conducts a detailed landslide susceptibility assessment on the NH-1 National Highway between Kangan and Kargil in Ladakh, a high-altitude region showcasing diverse geological formations. In this study, the weight overlay method was employed to evaluate the landslide causative factors and generate landslide susceptibility maps (LSMs). The study area was categorized into four susceptibility zones: low (1.71%), moderate (24.4%), high (59.58%), and very high (14.2%). The aspect analysis revealed that regions such as Kangan, Sonamarg, and Zoji La, with north and northeast-facing slopes, are more susceptible to landslides compared to regions with south and southwest-facing slopes like Drass and Kargil. Higher elevations (over 3200 m) from Kangan to Pandras were more prone to landslides than lower elevations (around 3000 m) from Drass to Kargil. Proximity to roads and streams was another critical factor, with areas closer to the road (< 300 m) from Zoji La to Pandras being more susceptible. Most landslides (25–30) were identified between Pandras and Kangan, and 10–15 between Drass and Kargil. The largest landslide (0.65 km2) was between Zero Point and Gumri, while the smallest (6056 m2) was in Hardass. The regions near Zoji La were more susceptible to landslides compared to Drass and Kargil, as evidenced by Google Earth imagery. The final Landslide Susceptibility Map offers a critical tool for future planning and disaster mitigation efforts in the region.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Geospatial Analysis of Landslide Susceptibility Along Kangan to Kargil Highway (NH1) in the Western Himalayas Using Heuristic and Statistical Techniques

  • Mohd Taqi,
  • Mohammad Ali,
  • Wani Suhail Ahmad,
  • Saleha Jamal

摘要

The present study conducts a detailed landslide susceptibility assessment on the NH-1 National Highway between Kangan and Kargil in Ladakh, a high-altitude region showcasing diverse geological formations. In this study, the weight overlay method was employed to evaluate the landslide causative factors and generate landslide susceptibility maps (LSMs). The study area was categorized into four susceptibility zones: low (1.71%), moderate (24.4%), high (59.58%), and very high (14.2%). The aspect analysis revealed that regions such as Kangan, Sonamarg, and Zoji La, with north and northeast-facing slopes, are more susceptible to landslides compared to regions with south and southwest-facing slopes like Drass and Kargil. Higher elevations (over 3200 m) from Kangan to Pandras were more prone to landslides than lower elevations (around 3000 m) from Drass to Kargil. Proximity to roads and streams was another critical factor, with areas closer to the road (< 300 m) from Zoji La to Pandras being more susceptible. Most landslides (25–30) were identified between Pandras and Kangan, and 10–15 between Drass and Kargil. The largest landslide (0.65 km2) was between Zero Point and Gumri, while the smallest (6056 m2) was in Hardass. The regions near Zoji La were more susceptible to landslides compared to Drass and Kargil, as evidenced by Google Earth imagery. The final Landslide Susceptibility Map offers a critical tool for future planning and disaster mitigation efforts in the region.