Title: GIS and Deep Learning for Geology and Geomorphology
Abstract: Based on GIS platform, using srtm-dem data, the eastern edge of Qinghai Tibet Plateau and Sichuan Basin were selected as the study area. The topographic parameters such as topographic relief and slope were extracted. The elevation of 2319 landslide points in the area was counted, and the corresponding relationship between topography and distribution of landslide disaster points was preliminarily established. The results show that the distribution of landslide disaster points and their elevation has obvious regional regularity. The elevation of landslide disaster points is 400–800 m and 1400–2000 m, which account for 40% and 28% of all landslides in the study area; the terrain relief corresponding to landslides is mainly 300–600 m, accounting for 48.68% of all landslides in the study area; the terrain slope of landslide disasters is 10–25. It accounts for 44.70% of all landslides in the study area. It is found that the corresponding geomorphic types in these areas are mainly deep “V” river valleys and valley landforms. In addition, the dynamic mechanism of landslide formation is analyzed from the aspects of fault activity.
Publication Year: 2021
Publication Date: 2021-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot