Landslide susceptibility analysis and verification using the Bayesian probability model

The Bayesian probability model, using the weight-of-evidence method, was applied to the task of evaluating landslide susceptibility using GIS data. The location chosen for the study was the Janghung area in Korea, which suffered substantial landslide damage following heavy rain in 1998. Using the lo...

Full description

Saved in:
Bibliographic Details
Published in:Environmental geology (Berlin) 2002-12, Vol.43 (1-2), p.120-131
Main Authors: LEE, Saro, CHOI, Jaewon, MIN, Kyungduck
Format: Article
Language:English
Subjects:
Areal geology. Maps
Earth sciences
Earth, ocean, space
Engineering and environment geology. Geothermics
Exact sciences and technology
Geologic maps, cartography
Natural hazards: prediction, damages, etc
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The Bayesian probability model, using the weight-of-evidence method, was applied to the task of evaluating landslide susceptibility using GIS data. The location chosen for the study was the Janghung area in Korea, which suffered substantial landslide damage following heavy rain in 1998. Using the location of the landslides as well as topographic factors such as soil, forest and land use, the weight-of-evidence method was used to calculate each factor's rating. Tests of conditional independence were performed for the selection of the factors, allowing the large number of combinations of factors to be analyzed. For each factor rating, the contrast values, W super(+) and W super(-), were overlaid for landslide susceptibility mapping. The results of the analysis were verified using the observed landslide locations and, among the combinations, the slope, aspect, curvature, soil material and wood types show the best results.
ISSN:0943-0105
1432-0495
DOI:10.1007/s00254-002-0616-x