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A Case Study on Analysis of Landslide Potential and Triggering Time at Inje Area using a RTI Warning Model  

Chae, Byung-Gon (Geological & Environmental Hazards Division, Korea Institute of Geoscience and Mineral Resources)
Liu, Ko-Fei (Slopeland Disaster Reduction Division, National Science and Technology Center for Disaster Reduction, Taiwan)
Cho, Yang-Chan (Geological & Environmental Hazards Division, Korea Institute of Geoscience and Mineral Resources)
Publication Information
The Journal of Engineering Geology / v.18, no.2, 2008 , pp. 191-196 More about this Journal
Abstract
This study is a case study for application of the RTI warning model to Korea which was previously developed to predict landslide potential and occurrence time during a rainfall event. The rainfall triggering index (RTI) is defined as the product of the rainfall intensity I (mm/hr) and the effective accumulated rainfall $R_t$ (mm). This index is used to evaluate the landslide and debris-flow occurrence potential at time t during a rainfall event. The upper critical value ($RTI_{UC}$) of RTI and the lower critical value ($RTI_{LC}$) of RTI can be determined by historical rainfall data of a certain area. When the rainfall intensity exceeds the upper critical value, there are high potential to occur land-slides. The analysis result can predict landslide occurrence time of an area during a rainfall event as well as land-slide potential. The result can also be used as an important data to issue early-warning of landslides. In order to apply the RTI warning model to Korea this study analyzed rainfall data and landslides data in Inje county, Gangwon province, Korea from July 13 to July 19, 2006. According to the analysis result, the rainfall intensity exceeded the upper critical value 23 hours ago, 11 hours ago, and 9 hours ago from 11:00 in the morning, July 16. Therefore, landslide warnings would be issued three times for people evacuation for avoiding or reducing hurts and dam-ages from landslides in mountainous areas of Inje.
Keywords
rainfall event; landslide; RTI warning model; occurrence time; landslide warning;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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