Econ. Environ. Geol. 2001; 34(4): 385-394

Published online August 31, 2001

© THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY

Application of Regional Landslide Susceptibility, Possibility, and Risk Assessment Techniques Using GIS

Saro Lee*

National Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources, 30, Kajeongdong, Taejeon, 305-350, Korea

Correspondence to :

Saro Lee

leesaro@kigam.re.kr

Received: July 3, 2001; Accepted: August 14, 2001

Abstract

There are serious damage of people and properties every year due to landslides that are occurred by heavy rain. Because these phenomena repeat and the heavy rain is not an atmospheric anomaly, the counter plan becomes necessary. The study area, Ulsan, is one of the seven metropolitan, and largest cities of Korea and has many large facilities such as petrochemical complex and factories of automobile and shipbuilding. So it is necessary assess the landslide hazard potential. In the study, the three steps of landslide hazard assessment techniques such as susceptibility, possibility, and risk were performed to the study area using GIS. For the analyses, the
topographic, geologic, soil, forest, meteorological, and population and facility spatial database were constructed. Landslide susceptibility representing how susceptible to a given area was assessed by overlay of the slope, aspect, curvature of topography from the topographic DB, type, material, drainage and effective thickness of soil from the soil DB, type age, diameter and density from forest DB and land use. Then landslide possibility representing how possible to landslide was assessed by overlay of the susceptibility and rainfall frequency map. Finally, landslide risk representing how dangerous to people and facility was assessed by overlay of the possibility
and the population and facility density maps The assessment results can be used to urban and land use plan for landslide hazard prevention.

Keywords GIS, landslide, susceptibility, possibility, risk

Article

Econ. Environ. Geol. 2001; 34(4): 385-394

Published online August 31, 2001

Copyright © THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY.

Application of Regional Landslide Susceptibility, Possibility, and Risk Assessment Techniques Using GIS

Saro Lee*

National Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources, 30, Kajeongdong, Taejeon, 305-350, Korea

Correspondence to:

Saro Lee

leesaro@kigam.re.kr

Received: July 3, 2001; Accepted: August 14, 2001

Abstract

There are serious damage of people and properties every year due to landslides that are occurred by heavy rain. Because these phenomena repeat and the heavy rain is not an atmospheric anomaly, the counter plan becomes necessary. The study area, Ulsan, is one of the seven metropolitan, and largest cities of Korea and has many large facilities such as petrochemical complex and factories of automobile and shipbuilding. So it is necessary assess the landslide hazard potential. In the study, the three steps of landslide hazard assessment techniques such as susceptibility, possibility, and risk were performed to the study area using GIS. For the analyses, the
topographic, geologic, soil, forest, meteorological, and population and facility spatial database were constructed. Landslide susceptibility representing how susceptible to a given area was assessed by overlay of the slope, aspect, curvature of topography from the topographic DB, type, material, drainage and effective thickness of soil from the soil DB, type age, diameter and density from forest DB and land use. Then landslide possibility representing how possible to landslide was assessed by overlay of the susceptibility and rainfall frequency map. Finally, landslide risk representing how dangerous to people and facility was assessed by overlay of the possibility
and the population and facility density maps The assessment results can be used to urban and land use plan for landslide hazard prevention.

Keywords GIS, landslide, susceptibility, possibility, risk

    KSEEG
    Apr 30, 2024 Vol.57 No.2, pp. 107~280

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