Earticle

초록

영어

South Korea's territory is approximately 62% forested, and urban residential development near mountainous areas has become inevitable. However, localized heavy rainfall from climate change and increased forest destruction have led to a rise in sediment-related disasters in urban mountainous regions. To prevent such disasters, the Korea Forest Service developed a landslide hazard map, but it tends to overestimate risks on steep slopes, showing limitations in accurately predicting landslide occurrences. This study focuses on the Bangbae-dong area in Seoul, where debris flow damage occurred in August 2022. Using a digital terrain model, SINMAP, an infinite slope stability analysis method, was applied to predict landslide-prone areas. Subsequently, FLO-2D, a two-dimensional numerical model, was used to analyze debris flow behavior at locations identified as hazardous by SINMAP. The results classified the area as a slope-type debris flow region, with strong agreement between predicted hazard areas and actual debris flow events. Additionally, it was found that installing debris flow barriers at the affected sites could effectively block debris flows without overflow.

키워드

저자

• Hang Il Jo [ Graduate School of Disaster Prevention, Kangwon National University ]
• Kye Won Jun [ Graduate School of Disaster Prevention, Kangwon National University ] Corresponding Author
• Chang Deok Jang [ CND, 15, Gyeonggang-ro 2301beon-gil, Gangneung, 25571, South Korea ]
• Sung Uk Kim [ Graduate School of Disaster Prevention, Kangwon National University ]
• Bae Dong Kang [ Graduate School of Disaster Prevention, Kangwon National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국산림공학회 학술대회

• 간기

  연간

• 수록기간

  2023~2025

• 십진분류

  KDC 526 DDC 634