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      A Case Study on the Collapse of a Rock Shed due to a Landslide

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      https://www.riss.kr/link?id=A109432743

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      In South Korea, mountainous regions constitute over 62% of the total land area. Recently, the incidence of landslides triggered by heavy summer rains attributed to climate change has increased. In particular, the occurrence of falling rocks is responsible for 40% of the collapses that occur in road cuttings. This study conducted an analysis of drone photography and an on-site survey in order to investigate the causes of damage to the Rock Shed and road resulting from landslides and the collapse of steep slopes in Bongyang-ri, Jeongseon-gun, Gangwon-do. The survey of the landslide-affected area revealed the formation of numerous fault breakers on the surveyed slope due to the crushing action induced by fault motion. We used 3D LiDAR survey data to create cross-sections at 10-meter intervals and then create a topline for each rockfall pile to estimate the overall scale of the event. This is the most accurate way to estimate the scale of activity.
      The analysis revealed that the volume of rockfall resulting from slope collapse amounted to 17,000 tons.
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      In South Korea, mountainous regions constitute over 62% of the total land area. Recently, the incidence of landslides triggered by heavy summer rains attributed to climate change has increased. In particular, the occurrence of falling rocks is respons...

      In South Korea, mountainous regions constitute over 62% of the total land area. Recently, the incidence of landslides triggered by heavy summer rains attributed to climate change has increased. In particular, the occurrence of falling rocks is responsible for 40% of the collapses that occur in road cuttings. This study conducted an analysis of drone photography and an on-site survey in order to investigate the causes of damage to the Rock Shed and road resulting from landslides and the collapse of steep slopes in Bongyang-ri, Jeongseon-gun, Gangwon-do. The survey of the landslide-affected area revealed the formation of numerous fault breakers on the surveyed slope due to the crushing action induced by fault motion. We used 3D LiDAR survey data to create cross-sections at 10-meter intervals and then create a topline for each rockfall pile to estimate the overall scale of the event. This is the most accurate way to estimate the scale of activity.
      The analysis revealed that the volume of rockfall resulting from slope collapse amounted to 17,000 tons.

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