Assessment of landslide sensitivity and determination of effective factors in its occurrence using the random forest algorithm(Case study: Glandrood watershed)
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.
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Measuring the effects of development pressure on the physical resilience of coastal cities with emphasis on ecological criteria (case example: Noor city)
Tahereh Abdullahzadeh, *, Gholamreza Janbaz Ghobadi, Asadaleh Devsalar
Journal of safe city, Summer 2025 -
Quantitative assessment of geoheritage sites, new insight in ecotourism destination development planning (Case study: Bushehr Township)
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Journal of Earth Science Researches, -
Identifying And Prioritizing Factors Affecting The Development Of Nature-Based Tourism With A Future Research Approach And The Best-Worst Criterion Method (Case Study: Yazd Province)
Reza Alizadeh, *, Arashk Masaeli
Journal of tourism and development, -
Urban Resilience Analysis against Flood (Case Study: Sari Region 2)
Hossein Sayadnia, *, Gholamreza Janbaz Ghobadi, Jalal Azimi Amoli
Journal of Urban Management and Energy Sustainability, Autumn 2022