Abstract
To accurately study the risk assessment of landslide disasters, firstly, the environmental conditions of induced landslide disasters are regarded as a fuzzy system, and the landslide risk factors in the multi-level analysis system are constructed to build a multi-level fuzzy evaluation index system. Then, the cloud model theory is introduced to improve the importance scale and membership degree involved in the evaluation process, and the multi-level fuzzy comprehensive evaluation method of landslide risk improved by a cloud model is proposed. Thus, a multi-level fuzzy evaluation cloud model for evaluating landslide risk is established. Finally, using the improved cloud model method, a multistage fuzzy comprehensive evaluation of landslide risk is conducted for the K112+210~K112 +630 section of the Long Chuan to Huaiji Highway Project in Guangdong Province. The results show that the improved cloud model can solve the problem of uncertainty in the process of landslide preparation and occurrence, greatly improve the effectiveness of landslide evaluation results, and provide an effective reference for landslide disaster prevention.
Highlights
A landslide is a serious natural disaster, that can do great harm to the development of human society and economic construction
Uormeihy et al (2000) [4,5], evaluated the landslide risk in Iran, selected the grid unit as the basic evaluation unit; established an index system based on the indexes of topographic slope, stratum lithology, geological structure, river erosion and land use; completed a landslide risk assessment in this area; and generated relevant maps of the landslide risk
The advantages of this model are as follows: (1) unlike the comment layer determined by the traditional set theory method, the evaluation cloud model obscures the boundary of the risk level, which is more suitable for the language habits of humans
Summary
A landslide is a serious natural disaster, that can do great harm to the development of human society and economic construction. In June 2017, a very large landslide disaster occurred in Xinmo Village, Diexi Town, Maoxian County, Aba Prefecture, Sichuan Province. A. Uormeihy et al (2000) [4,5], evaluated the landslide risk in Iran, selected the grid unit as the basic evaluation unit; established an index system based on the indexes of topographic slope, stratum lithology, geological structure, river erosion and land use; completed a landslide risk assessment in this area; and generated relevant maps of the landslide risk. The method of direct superposition of discriminant factor indexes was used to establish, a semi-quantitative evaluation model for slope risk assessment, and the risk degree was divided into six grades and applied to Muli County, as a practical application
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