Given frequent landslide hazards and insufficient collaborative analysis of multi-source data in the carbonaceous mudstone mountainous areas of Bama County, this study uses GIS information fusion technology as the core to construct a three-level fusion framework. It is a "Data Layer-Feature Layer-Decision-making Layer" framework for geological hazard risk zonation evaluation. By integrating multi-source data including terrain (DEM), geology (structure, lithology), meteorology (rainfall), vegetation (NDVI) and historical hazards, the study area is divided into 5 risk levels, and the model accuracy is verified by 107 historical landslide points. The results show that: (1) GIS information fusion effectively integrates multi-source heterogeneous data, which solves the limitations of single data, and the model's recognition accuracy for high-risk areas reaches 89.7%; (2) the high-risk areas (Level 4-5) in Bama County account for 28.8%, concentrated in the area within < 0.5km around the northwestern Bama Fault Zone, the carbonaceous mudstone distribution area with slope > 25° and annual average rainfall > 1400mm; (3) the low-risk areas (Level 1-2) account for 46.6%, mainly distributed in the gentle areas with vegetation coverage > 60% in the southwest. Moreover, this study can serve as a reference for geological hazard prevention and control, as well as for risk management, in Bama County.
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Tang et al. (2025) studied this question.
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