Research on the Joint Evaluation of Geological Disaster Susceptibility Based on Fractal Theory and Hierarchical Analysis Method

Ying Huang
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Abstract

In recent years, strong earthquakes and extreme climate events occur frequently in southwest China, forming a large number of mass geological disasters, which seriously threaten the life and property safety of local people. Therefore, so it is particularly important to carry out the refined evaluation of regional geological disaster susceptibility. On the basis of summarizing the previous research results, in the mountain area of mianzhu, Sichuan province, selected elevation, undulation, slope, stratum, fault, drainage, highway, based on the fractal theory (FT) joint level analysis (AHP) evaluation model, realize the study area fine geological disaster prone evaluation, make up for the traditional method in terms of weight determination and calculation accuracy. The evaluation results show that the extremely high prone area and the high prone area are basically concentrated in the low fluctuation area, low slope area, dense water system area and fault concentration area, with an area of 90.38km2 (13.63%). The AUC value of the combined model was 0.865, indicating that the evaluation results have high accuracy and reliability, which can provide necessary support for the geological disaster prevention and control work in Mianzhu city, and can also provide reference for the evaluation of geological disaster susceptibility in similar areas.
基于分形理论和层次分析法的地质灾害易发性联合评价研究
近年来,我国西南地区强震和极端气候事件频发,形成了大量的群体性地质灾害,严重威胁着当地人民群众的生命财产安全。因此,开展区域地质灾害易发性精细化评价显得尤为重要。在总结前人研究成果的基础上,在四川绵竹山区选取高程、起伏、坡度、地层、断层、排水、公路,基于分形理论(FT)联合层次分析(AHP)评价模型,实现研究区地质灾害易发性精细化评价,弥补了传统方法在权重确定和计算精度方面的不足。评价结果表明,极易发区和高易发区基本集中在低波动区、低坡度区、水系密集区和断层集中区,面积为 90.38km2,占 13.63%。组合模型的AUC值为0.865,表明评价结果具有较高的准确性和可靠性,可为绵竹市地质灾害防治工作提供必要的支撑,也可为类似地区的地质灾害易发性评价提供参考。
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