Abstract
The differentiation rule and driving mechanisms of collapse disasters in various regions are unclear, and the results from existing methods of research are not sufficiently scientific. To reveal the nature of collapse disasters, this study utilized data from the 1:50,000 geological disaster investigation results database, 1:50,000 topographic data, and TM images. Topography, human activity intensity, rock mass structure, hydrological conditions, vegetation status, and meteorological conditions were used as indicators in the DEA model to analyze their validity and to explore the differentiation law and driving mechanisms of the highway slope along the YaLu river, a location of frequent geological disasters in Changbai County. In the analysis process, each index was quantitatively graded, i.e., the number of disaster points corresponding to each index was used as an input index, and the number of disaster points and the scale and stability of disaster points corresponding to the graded quantitative index were used as the output indexes. The results of the analysis of the study area indicate that there are significant differences in geological disasters due to different regional characteristics. We carried out three evaluations and performed spatial superposition analysis of the indicators corresponding to the effective values and the regional collapse points. The driving factors of collapse disasters can be divided into three categories, namely the impact of human activities, rainfall, and gravity stress. The GIS analysis and mapping found that the collapse points located to the south of the Grand Canyon of Changbai County were primarily affected by rainfall. Additionally, the areas affected by activity intensity are mostly concentrated in county towns with concentrated populations and road slopes.
Highlights
Geological hazards refer to the catastrophic geological events resulting from various natural geological processes and human activities during the development and evolution of the Earth
Establishing the input/output indexes of the Data envelopment analysis (DEA) model is a basic premise for this evaluation
Autonomous County as an example, the purpose of this study was to explore the differentiation characteristics and driving mechanism of the main controlling factors of collapse disaster in the regional environment. The indicators such as landform, human activity intensity, rock and soil structure, hydrological conditions, vegetation status and meteorological conditions were selected, and the scale of collapse disaster was included in the evaluation process
Summary
Geological hazards refer to the catastrophic geological events resulting from various natural geological processes and human activities during the development and evolution of the Earth. Collapse disasters refer to events in which the rock mass on a steep slope suddenly breaks away from the parent body due to gravity, rolls and accumulates at the foot of the slope (or valley) and causes damage to human life and property. Because human understanding of geological disasters is still in its infancy, many of these issues require further study. Studies on the differentiation rule and driving mechanisms of critical factors of geo-hazards are relatively rare. Zhang et al [11] found that geological disasters are closely related to topography and vegetation coverage, among other factors. Dexin et al [12] established a simple dynamic study and found that slope stability is closely related to rainfall, slope, and the friction
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