Assessing Landslide Risk Areas Using Statistical Models and Land Cover

Thursday, 17 December 2015
Poster Hall (Moscone South)
Ho Gul Kim1, Dong Kun Lee1, Chan Park2, Yoonjung Ahn3, Sunyong Sung1 and Jin Han Park1, (1)Seoul National University, Seoul, South Korea, (2)Korea research institute for humen settlements, Anyang, South Korea, (3)Korea Environment Institute, Sejong, South Korea
Recently, damages due to landslides have increased in Republic of Korea. Extreme weathers like typhoon, heavy rainfall related to climate change are the main factor of the damages. Especially, Inje-gun, Gangwon-do had severe landslide damages in 2006 and 2007. In Inje-gun, 91% areas are forest, therefore, many land covers related to human activities were adjacent to forest land. Thus, establishment of adaptation plans to landslides was urgently needed. Landslide risk assessment can serve as a good information to policy makers. The objective of this study was assessing landslide risk areas to support establishment of adaptation plans to reduce landslide damages. Statistical distribution models (SDMs) were used to evaluate probability of landslide occurrence. Various SDMs were used to make landslide probability maps considering uncertainty of SDMs. The types of land cover were classified into 5 grades considering vulnerable level to landslide. The landslide probability maps were overlaid with land cover map to calculate landslide risk. As a result of overlay analysis, landslide risk areas were derived. Especially agricultural areas and transportation areas showed high risk and large areas in the risk map. In conclusion, policy makers in Inje-gun must consider the landslide risk map to establish adaptation plans effectively.