4.6 Article

The risk assessment of landslide hazards in the Badong section of Three Gorges using the variable fuzzy set theory

期刊

FRONTIERS IN PHYSICS
卷 10, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fphy.2022.1006840

关键词

risk assessment; landslide hazards; variable fuzzy sets; Three Gorges Reservoir area; evaluation index

资金

  1. mineral resources project of Sichuan province [SCKCZY2022-ZC003]
  2. Sichuan Science and Technology Program [2020YJ0424]
  3. Regional Innovation Cooperation Programs of Sichuan Province [2021YFQ0050]
  4. Guizhou Provincial Science and Technology Projects [(2020)2004]
  5. Scientific and Technological Projects of Henan Province [222102320296]
  6. Opening Project of Sichuan Province University Key Laboratory of Bridge Non-destruction Detecting and Engineering Computing [2022QYJ02]
  7. cross project in the Nanyang Institute of Technology [520009]
  8. start-up Foundation [510126]

向作者/读者索取更多资源

The risk assessment of landslide hazards is significant for ensuring people's safety and property. A model based on variable fuzzy set theory was developed to evaluate landslide hazards, and it was applied to assess the hazards in a specific region in China. The results showed that the proposed model produced consistent and accurate results, with an accuracy rate of 83%. This study presents a new approach for assessing landslide hazards in the future.
The risk assessment of landslide hazards has a tremendous influence on people's lives and property safety; therefore, its investigation is significant. The stratigraphic lithology, degree of weathering, relationship between the structural plane and slope direction, cohesive force, angle of internal friction, severity, average slope degree, height of slope, and type of landslide are adopted as the evaluation factors first. Second, an assessment model is developed based on the variable fuzzy set theory. In addition, the proposed model is utilized to assess the landslide hazards in the Badong section of Three Georges in China. Finally, the results demonstrate that the results derived from the proposed model are consistent with the current specifications; the accuracy rate reaches 83%. The method can determine the risk level of landslide hazards and provide an alternative scheme. Hence, this study can accurately present a new approach for assessing landslide hazards in the future.

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