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Analysis of Landslide and Debris flow Hazard Area using Probabilistic Method in GIS-based

GIS 기반 확률론적 기법을 이용한 산사태 및 토석류 위험지역 분석

  • Oh, Chae-Yeon (Graduate School of Disaster prevention, Kangwon University) ;
  • Jun, Kye-Won (Graduate School of Disaster prevention, Kangwon University)
  • 오채연 (강원대학교 방재전문대학원) ;
  • 전계원 (강원대학교 방재전문대학원)
  • Received : 2012.09.25
  • Accepted : 2012.11.22
  • Published : 2012.12.31

Abstract

In areas around Deoksan Li and Deokjeon Li, Inje Eup, Inje Gun, located between $38^{\circ}2^{\prime}55^{{\prime}{\prime}}N$ and $38^{\circ}5^{\prime}50^{{\prime}{\prime}}N$ in latitude and $128^{\circ}11^{\prime}20^{{\prime}{\prime}}E$ and $128^{\circ}18^{\prime}20^{{\prime}{\prime}}E$ in longitude, large-sized avalanche disasters occurred due to Typhoon Ewiniar in 2006. As a result, 29 people were dead or missing, along with a total of 37.25 billion won of financial loss(Gangwon Province, 2006). To evaluate such landslide and debris flow risk areas and their vulnerability, this study applied a technique called 'Weight of Evidence' based on GIS. Especially based on the overlay analysis of aerial images before the occurrence of landslides and debris flows in 2005 and after 2006, this study extracted 475 damage-occurrence areas in a shape of point, and established a DB by using such factors as topography, hydrologic, soil and forest physiognomy through GIS. For the prediction diagram of debris flow and landslide risk areas, this study calculated W+ and W-, the weighted values of each factor of Weight Evidence, while overlaying the weighted values of factors. Besides, the diagram showed about 76% in prediction accuracy, and it was also found to have a relatively high correlationship with the areas where such natural disasters actually occurred.

Keywords

References

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