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Landslide Susceptibility Apping and Comparison Using Probabilistic Models: A Case Study of Sacheon, Jumunzin Area, Korea

확률론적 모델을 이용한 산사태 취약성 지도 분석: 한국 사천면과 주문진읍을 중심으로

  • Park, Sung-jae (Division of Science Education, Kangwon National University) ;
  • Kadavi, Prima Riza (Division of Science Education, Kangwon National University) ;
  • Lee, Chang-wook (Division of Science Education, Kangwon National University)
  • 박성재 (강원대학교 과학교육학과) ;
  • ;
  • 이창욱 (강원대학교 과학교육학과)
  • Received : 2018.05.18
  • Accepted : 2018.07.19
  • Published : 2018.10.31

Abstract

The purpose of this study is to create landslide vulnerability using frequency ratio (FR) and evidential belief functions (EBF) model which are two methods of probability model and to select appropriate model for each region through comparison of results in Sacheon-myeon and Jumunjin-eup of Gangneung. 762 locations in Sacheon-myeon and 548 landscapes in Jeonju-eup were constructed based on the interpretation of aerial photographs. Half of each landslide point was randomly selected for modeling and remaining landslides were used for verification purposes. Twenty landslide-inducing factors classified into five categories such as topographic elements, hydrological elements, soil maps (1:5,000), forest maps (1:5,000), and geological maps (1:25,000) were considered for the preparation of landslide vulnerability in the study. The relationship between landslide occurrence and landslide inducing factors was analyzed using FR and EBF models. The two models were then verified using the AUC (curve under area) method. According to the results of verification, the FR model (AUC = 81.2%) was more accurate than the EBF model (AUC = 78.9%) at Jeonjun-eup. In the Sacheon-myeon, the EBF model (AUC = 83.6%) was more accurate than the FR model (AUC = 81.6%). Verification results show that FR model and EBF model have high accuracy with accuracy of around 80%.

Acknowledgement

Supported by : 한국연구재단

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