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http://dx.doi.org/10.21729/ksds.2018.11.2.1

Disaster risk predicted by the Topographic Position and Landforms Analysis of Mountainous Watersheds  

Oh, Chae-Yeon (Disaster Prevention & Safety Engineering, Kangwon National Univ.)
Jun, Kye-Won (Graduate School of Disaster Prevention, Kangwon National Univ.)
Publication Information
Journal of Korean Society of Disaster and Security / v.11, no.2, 2018 , pp. 1-8 More about this Journal
Abstract
Extreme climate phenomena are occurring around the world caused by global climate change. The heavy rains exceeds the previous record of highest rainfall. In particular, as flash floods generate heavy rainfall on the mountains over a relatively a short period of time, the likelihood of landslides increases. Gangwon region is especially suffered by landslide damages, because the most of the part is mountainous, steep, and having shallow soil. Therefore, in this study, is to predict the risk of disasters by applying topographic classification techniques and landslide risk prediction techniques to mountain watersheds. Classify the hazardous area by calculating the topographic position index (TPI) as a topographic classification technique. The SINMAP method, one of the earth rock predictors, was used to predict possible areas of a landslide. Using the SINMAP method, we predicted the area where the mountainous disaster can occur. As a result, the topographic classification technique classified more than 63% of the total watershed into open slope and upper slope. In the SINMAP analysis, about 58% of the total watershed was analyzed as a hazard area. Due to recent developments, measures to reduce mountain disasters are urgently needed. Stability measures should be established for hazard zone.
Keywords
Mountainous disaster; Landslide; Topographic classification techniques. TPI;
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Times Cited By KSCI : 2  (Citation Analysis)
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