Geological hazards susceptibility evaluation based on multi‐year spatial–temporal evolution of assessment factors in Luding area, Sichuan Province, China

Abstract

More than 50 earthquakes occurred in the Luding region, including a 6.8‐magnitude earthquake on September 5, 2022, which induced huge amounts of geological disasters. As the main triggered factors for the geological disasters, the vegetation, precipitation and temperature show regular changes on the time axis. Thus, this paper based on the spatial–temporal evolution of the precipitation, temperature and normalized difference vegetation index (NDVI), focuses on the susceptibility of the Luding area using the weighted information content method (ICM) and analytic hierarchy process (AHP) for the post‐earthquake regional planning and reconstruction. In the Luding area, it was found that there were 18 debris flow gullies, and 470 geological disasters scattered in the debris flow gullies. The NDVI of the study area has been declining in recent years, with only about 12% of the NDVI increasing from 2015 to 2020. From 2011 to 2015, the annual cumulative precipitation has been dropping overall, while the July average temperature has increasing quadratic functions after decreasing trend. Furthermore, the studied area's geological hazards susceptibility was classified into five categories, with extremely low susceptibility accounting for 5.82%, low susceptibility accounting for 13.61%, moderate susceptibility accounting for 38.54%, high susceptibility accounting for 39.96% and extremely high susceptibility accounting for 2.08%. The geological disasters in moderate, high and extremely high susceptibility accounted for approximately 95.08%, and the covered area of geological disasters in moderate, high and extremely high susceptibility accounted for 88.06%. Through the receiver operating characteristic (ROC) curve of the model verification found the AUC = 0.743. The geological hazards susceptibility study results show that the approach is useful for the analysis and prevention of geological disasters.

Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns

“…Geological disaster susceptibility is affected mainly by topography, stratum lithology, geological structure, vegetation, and other factors, which are evaluated according to the activity rules and formation factors of geological hazards. On the basis of the reference of basic data and the related literature about the research area [29], this article selected the evaluation indicators and tested the correlation of influencing factors by multiple collinearity analysis, on which the evaluation index system of geological hazard susceptibility in the research area was constructed. The following geological disaster susceptibility evaluation indicators in 2020 were taken as an example (Table 4, Figure 4).…”