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http://dx.doi.org/10.14481/jkges.2014.15.6.67

A Comparison on the Identification of Landslide Hazard using Geomorphological Characteristics  

Cha, Areum (Disaster Prevention Research Division, National Disaster Management Institute, Department of Civil Engineering, Hanyang University)
Publication Information
Journal of the Korean GEO-environmental Society / v.15, no.6, 2014 , pp. 67-73 More about this Journal
Abstract
Landslide disasters including debris flows are the one of the most frequent natural disasters in Korea, and losses of lives and property damages due to these catastrophic events have been increased every year. Various mitigation programs and related policies have been conducted in order to respond and prepare landslide disasters. Most landslide reduction programs are, however, focused on recovery actions after the disasters and lead to unrealistic consequences to the affected people and their properties. The main objective of this study, therefore, is to evaluate the landslide hazard based on the identification of geomorphological features, which is for the preparedness of the landslide disasters. Two methodologies, SINMAP and vector dispersion analyses are used to simulate those characteristics where landslides are actually located. Results showed that both methods well discriminate geomorphic features between stable and unstable domains. This proves that geomorphological characteristics well describe a relationship with the existing landslide hazard. SINMAP analysis which is based on the consecutive model considering external factors like infiltration is well identify the landslide hazard especially for debris flow type landslides rather than vector dispersion focusing on a specific area. Combining with other methods focusing specific characteristics of geomorphological feature, accurate landslide hazard assessments are implemented.
Keywords
Debris flow; SINMAP (Stability INdex MAPping); Directional data; Statistical evaluation; Vector dispersion;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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