4.6 Article

Relative effect method of landslide susceptibility zonation in weathered granite soil: a case study in Deokjeok-ri Creek, South Korea

期刊

NATURAL HAZARDS
卷 72, 期 2, 页码 1189-1217

出版社

SPRINGER
DOI: 10.1007/s11069-014-1065-z

关键词

Deokjeok-ri Creek; GIS; Landslide susceptibility; Relative effect; Weathered granite soil

资金

  1. Public Welfare and Safety Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT, and Future Planning [2012M3A2A1050977]
  2. Brain Korea 21 Plus (BK21Plus)
  3. National Research Foundation of Korea [2012M3A2A1050977] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

The objective of this study was to produce and evaluate a landslide susceptibility map for weathered granite soils in Deokjeok-ri Creek, South Korea. The relative effect (RE) method was used to determine the relationship between landslide causative factors (CFs) and landslide occurrence. To determine the effect of CFs on landslides, data layers of aspect, elevation, slope, internal relief, curvature, distance to drainage, drainage density, stream power index, sediment transport index, topographic wetness index, soil drainage character, soil type, soil depth, forest type, timber age, and geology were analyzed in a geographical information system (GIS) environment. A GIS-based landslide inventory map of 748 landslide locations was prepared using data from previous reports, aerial photographic interpretation, and extensive field work. A RE model was generated from a training set consisting of 673 randomly selected landslides in the inventory map, with the remaining 75 landslides used for validation of the susceptibility map. The results of the analysis were verified using the landslide location data. According to the analysis, the RE model had a success rate of 86.3 % and a predictive accuracy of 88.6 %. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide locations. The results of this study can therefore be used to mitigate landslide-induced hazards and to plan land use.

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