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Development of Landslide-Risk Prediction Model thorough Database Construction

데이터베이스 구축을 통한 산사태 위험도 예측식 개발

  • Lee, Seung-Woo (Dept. of Civil Engineering, Gangneung-Wonju National Univ.) ;
  • Kim, Gi-Hong (Dept. of Civil Engineering, Gangneung-Wonju National Univ.) ;
  • Yune, Chan-Young (Dept. of Civil Engineering, Gangneung-Wonju National Univ.) ;
  • Ryu, Han-Joong (Dept. of Civil Engineering, Gangneung-Wonju National Univ.) ;
  • Hong, Seong-Jae (Dept. of Civil Engineering, Gangneung-Wonju National Univ.)
  • 이승우 (강릉원주대학교 토목공학과) ;
  • 김기홍 (강릉원주대학교 토목공학과) ;
  • 윤찬영 (강릉원주대학교 토목공학과) ;
  • 유한중 (강릉원주대학교 토목공학과) ;
  • 홍성재 (강릉원주대학교 토목공학과)
  • Received : 2011.09.30
  • Accepted : 2012.04.04
  • Published : 2012.04.30

Abstract

Recently, landslide disasters caused by severe rain storms and typhoons have been frequently reported. Due to the geomorphologic characteristics of Korea, considerable portion of urban area and infrastructures such as road and railway have been constructed near mountains. These infrastructures may encounter the risk of landslide and debris flow. It is important to evaluate the highly risky locations of landslide and to prepare measures for the protection of landslide in the process of construction planning. In this study, a landslide-risk prediction equation is proposed based on the statistical analysis of 423 landslide data set obtained from field surveys, disaster reports on national road, and digital maps of landslide area. Each dataset includes geomorphologic characteristics, soil properties, rainfall information, forest properties and hazard history. The comparison between the result of proposed equation and actual occurrence of landslide shows 92 percent in the accuracy of classification. Since the input for the equation can be provided within short period and low cost, and the results of equation can be easily incorporated with hazard map, the proposed equation can be effectively utilized in the analysis of landslide-risk for large mountainous area.

Acknowledgement

Supported by : 국토해양부

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  3. A GIS-Based Framework for Real-Time Debris-Flow Hazard Assessment for Expressways in Korea vol.7, pp.3, 2016, https://doi.org/10.1007/s13753-016-0096-3
  4. Comparing Potential Unstable Sites and Stable Sites on Revegetated Cut-Slopes of Mountainous Terrain in Korea vol.7, pp.11, 2015, https://doi.org/10.3390/su71115319