NDLI: Regional susceptibility, possibility and risk analyses of landslide in Ulsan Metropolitan City, Korea

Content Provider	IEEE Xplore Digital Library
Author	Lee, S. Chang, B. Choi, W. Shin, E.
Copyright Year	2001
Description	Author affiliation: Nat. Geosci. Inf. Center, Korea Inst. of Geosci. & Miner. Resources, Taejon, South Korea (Lee, S.)
Abstract	The three steps of landslide hazard analysis such as susceptibility, possibility, and risk were performed to study area, Ulsan, using GIS. The susceptibility is a function of the probability of potential landslide occurrence and landslide-related factors. The possibility depends on the impact factor such as rainfall, earthquake and human activity and on the susceptibility. The risk depends on vulnerable objects such as people and property, and on the possibility. For the analyses, the topographic, geologic, soil, forest, meteorological, and population and facility database were constructed using GIS. Landslide susceptibility was analyzed using the landslide-occurrence factors by probability method that is summation of landslide occurrence probability values per each factors range or type. For landslide possibility analysis, the rainfall frequency map that was extracted from meteorological database was added to the susceptibility map, because most of the landslides in Korea occurred by heavy rain. For landslide risk analysis, the population and facility density maps that were created from the population and facility database were added to the possibility map.
Starting Page	1690
Ending Page	1692
File Size	719785
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.977039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Risk analysis Terrain factors Databases Geographic Information Systems Meteorology Hazards Performance analysis Earthquakes Humans Geology
Content Type	Text
Resource Type	Article

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