Development of a methodology for predicting landslide hazards at a regional scale

Geoenvironmental Disasters

Research

Blanche Richer¹  Ali Saeidi¹  Yan Lévesque¹  Alain Rouleau¹  Maxime Boivin² 

[1] Department of Applied Sciences, Université du Québec à Chicoutimi, G7H 2B1, Chicoutimi, QC, Canada;Department of Applied Sciences, Université du Québec à Chicoutimi, G7H 2B1, Chicoutimi, QC, Canada;Département des sciences humaines et sociales - Géographie, Université du Québec à Chicoutimi, Chicoutimi, Canada;

关键词: Sensitive clay;    Landslide;    Risk analysis;    Zonation mapping;    Electrical induction;    TEM;    Back analysis;    3D modeling;   

DOI  :  10.1186/s40677-022-00231-4

 received in 2021-10-22, accepted in 2022-12-29,  发布年份 2022

来源: Springer

【 摘 要 】

Landslide risk analysis is a common geotechnical evaluation and it aims to protect life and infrastructure. In the case of sensitive clay zones, landslides can affect large areas and are difficult to predict. Here we propose a methodology to determine the landslide hazard across a large territory, and we apply our approach to the Saint-Jean-Vianney area, Quebec, Canada. The initial step consists of creating a 3D model of the surficial deposits of the target area. After creating a chart of the material electrical resistivity adapted for eastern Canada, we applied electric induction to interpret the regional soil. We transposed parameter values obtained from the laboratory to a larger scale, that is to a regional slope using the results of a back analysis undertaken earlier, on a smaller slide within the same area. The regional 3D model of deposits is then used to develop a zonation map of slopes that are at risk and their respective constraint areas with the study region. This approach allowed us to target specific areas where a more precise stability analysis would be required. Our methodology offers an effective tool for stability analysis in territories characterized by the presence of sensitive clays.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

Fig. 6

Fig. 2

Fig. 1

Fig. 1

Fig. 3

12888_2023_4583_Article_IEq3.gif

Fig. 4

Fig. 7

Fig. 2

Fig. 5

40517_2023_248_Article_IEq20.gif

40517_2023_248_Article_IEq17.gif

40517_2023_248_Article_IEq7.gif