Extreme climate phenomena are occurring around the world caused by global climate change, and Korea is no exception. Heavy rains continue to occur in Korea, which exceed the previous highest rainfall records. In particular, as flash floods generate heavy rainfall on the mountains over a relatively a short period of time, the likelihood of landslides increases. Therefore, it is necessary to scientifically analyze landslide risk areas to minimize damage in the event of a landslide, and to collect and analyze a variety of spatial information. This study constructs a spatial information database using GIS and integrating geography, hydrology, geology, and forestry, which is required for a complete analysis of landslide risk areas. We also carried out a case study of Injegun, Gangwondo, which suffered from serious landslides and flash floods in 2006 after Typhoon Ewiniar, by overlaying site monitoring data with airborne images. Furthermore, this study evaluates slope stability of the affected areas using SINMAP (Stability Index Mapping), analyzes spatial data that have high correlation with selected landslide areas using Likelihood Ratio, and prepares landslide prediction of the mountainous areas that are vulnerable to disasters.
|Number of pages
|Journal of the Faculty of Agriculture, Kyushu University
|Published - Feb 1 2015
All Science Journal Classification (ASJC) codes
- Agronomy and Crop Science