Assessment of landslide sensitivity and determination of effective factors in its occurrence using the random forest algorithm(Case study: Glandrood watershed)

Message:
Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

The Glandrood watershed, given its geological, tectonic, climatic, hydrological characteristics, topography, and poor vegetation cover, has a landslide potential, and inappropriate human intervention in it leads to the occurrence and intensification of mass movements. In the present study, using a descriptive-analytical and survey approach, an attempt has been made to prepare a sensitivity map for slope instability and landslides in the study area using 11 factors effective in causing slope instability. These factors include: slope, aspect direction, elevation, distance from the road, distance from the fault, distance from the waterway, total annual precipitation, average annual temperature, land use, geology, and slope curvature. Then, a total of 352 landslide points were identified using satellite images and field visits, of which 70% were used for model training and the remaining 30% for validation. Subsequently, the random forest algorithm was coded in the MATLAB R2020a environment to identify areas susceptible to landslides. According to the landslide hazard map in the Glandrood watershed, over 30% of the area is classified as "very high risk," 19% as "high risk," 13% as "medium risk," 19% as "low risk," and 16% of the study area is classified as "very low" landslide risk. The prioritization of effective variables indicates that the highest weight, with a criterion ranking of 0.98, is related to elevation. The analysis of the catena concept, which reflects the relationship between soil patterns and landscape slopes with topography and leads to variability in soil properties and subsequently changes in vegetation cover, can well justify the relationship or influence of the elevation factor on landslide movements in the study area.

Language:
Persian
Published:
Journal of Geography and Environmental Hazards, Volume:14 Issue: 53, Spring 2025
Pages:
247 to 274
https://www.magiran.com/p2863249  
سامانه نویسندگان
  • Corresponding Author (2)
    Sadroddin Motevalli
    Associate Professor Department of Geography, Nour Branch, Islamic Azad University, Noor, Iran
    Motevalli، Sadroddin
  • Author (3)
    Khabat Derafshi
    Assistant Professor Natural Heritage Department, Cultural Heritage And Tourism Research Institute, Tehran, Iran
    Derafshi، Khabat
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