Spatial distribution and influencing factors of mountainous geological disasters in southwest China: A fine-scale multi-type assessment

Geological disasters have long been a constant threat to socioeconomic development and human life and property. Many studies focus on the occurred geological disasters and ignore the potential risk events. Fine-scale multi-type analysis of Potential Geological Disasters Spots (PGDSs) is a necessary but insufficiently explored research field in China's mountainous areas. Taking Meigu County (Sichuan Province, Southwest China), a typical disaster-prone region, as the study area. Average nearest neighbor (ANN), standard deviational ellipse (SDE), kernel density estimation (KDE), and ordinary least squares (OLS) regression are used to assess the spatial distribution of potential geological disasters spots and their influencing factors. The findings show that: potential geological disasters spots have a significant spatial heterogeneity and exhibited a prominent clustering characteristic. They were distributed in an elevation range of 1,500-2000 m, which receives an average monthly rainfall of more than 240 mm, as well as in highly foliated (0.6 < Normalized Difference Vegetation Index (NDVI) < 0.8), west-facing (247.5-292.5 & DEG;), and slopes of 10-20 & DEG;. In addition, slope, aspect, population density, and rainfall were found as the main influencing factors. The results provide practical rural development measures with support for potential geological disasters spots avoidance and preparedness.

Automated summary

Geological disasters pose a continuous threat to socioeconomic development and human life and property. The study of potential geological disasters spots and their influencing factors in China's mountainous areas is an underexplored research field. By focusing on Meigu County in Sichuan Province, it is found that potential geological disasters spots exhibit significant spatial heterogeneity and clustering characteristics. These spots are distributed within a specific elevation range, monthly rainfall, vegetation index, and slope aspect range, with factors such as slope, aspect, population density, and rainfall influencing their occurrence.