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Identifying rock slope failure precursors using LiDAR for transportation corridor hazard management
Abstract In the Thompson and Fraser River valleys, rockfall and rockslides are a hazard for railway traffic in the region. In June 2013, a 2600m3 rockslide occurred in the White Canyon, causing damage to infrastructure and interruption to service. In the year preceding this failure, the slope was monitored using terrestrial Light Detection And Ranging (LiDAR) as part of the Railway Ground Hazards Research Program initiative. The purpose of this study is to evaluate a hazard management strategy for transportation corridors exposed to steep slopes involving the identification of rockfall precursors prior to significant slope failures. For this failure, deformation was observed in the seven months preceding collapse with an accelerating period occurring in the final 28days. A distinct pattern of smaller rockfalls was observed around the perimeter of the deforming rock block as well as loss of surficial material over the slides tension crack. This study shows that with LiDAR monitoring, precursors to rock slope failures can be identified allowing for better rock slope hazard management by focusing attention on areas with the highest probability of failure.
Highlights Analysis of LiDAR data collected over a year preceding a 2600m3 rockslide Deformation was observed up to seven months preceding the rockslide. Deformation accelerated before failure. A pattern of rockfalls was observed around the perimeter of the failure. A tension crack progressively developed prior to failure.
Identifying rock slope failure precursors using LiDAR for transportation corridor hazard management
Abstract In the Thompson and Fraser River valleys, rockfall and rockslides are a hazard for railway traffic in the region. In June 2013, a 2600m3 rockslide occurred in the White Canyon, causing damage to infrastructure and interruption to service. In the year preceding this failure, the slope was monitored using terrestrial Light Detection And Ranging (LiDAR) as part of the Railway Ground Hazards Research Program initiative. The purpose of this study is to evaluate a hazard management strategy for transportation corridors exposed to steep slopes involving the identification of rockfall precursors prior to significant slope failures. For this failure, deformation was observed in the seven months preceding collapse with an accelerating period occurring in the final 28days. A distinct pattern of smaller rockfalls was observed around the perimeter of the deforming rock block as well as loss of surficial material over the slides tension crack. This study shows that with LiDAR monitoring, precursors to rock slope failures can be identified allowing for better rock slope hazard management by focusing attention on areas with the highest probability of failure.
Highlights Analysis of LiDAR data collected over a year preceding a 2600m3 rockslide Deformation was observed up to seven months preceding the rockslide. Deformation accelerated before failure. A pattern of rockfalls was observed around the perimeter of the failure. A tension crack progressively developed prior to failure.
Identifying rock slope failure precursors using LiDAR for transportation corridor hazard management
Kromer, Ryan A. (author) / Hutchinson, D. Jean (author) / Lato, Matt J. (author) / Gauthier, Dave (author) / Edwards, Thomas (author)
Engineering Geology ; 195 ; 93-103
2015-05-11
11 pages
Article (Journal)
Electronic Resource
English
Identifying rock slope failure precursors using LiDAR for transportation corridor hazard management
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