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Landslide Hazard
Maps
of Korea
By Kyoung-Doo Oh, Ph.D.
Professor, Korea Military Academy육군사관학교Korea Military Acad-emy
자연재해저감기술개발사업단
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How to develop precision landslide hazard maps? How to develop precision landslide hazard maps?
Contents
22
Let us explore landslide hazrd maps!!Let us explore landslide hazrd maps!!33
What are the problems with landslides?What are the problems with landslides?11
How to use landslide hazard maps?How to use landslide hazard maps?44
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What are the problems with landslides?
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Rapid increase of loss related with landslides for recent 10
years
Average annual loss : 779ha, casualties : 11 deaths,
property damage : 120 million dallars
Unprecedented extreme rainfalls due to global climate change : 58 casualties
during heavy rainstorms in 2011
Difficult to isolate ‘real’ landslide hazard areas due to vast area
of
potential danger zones
About 40% of Seoul and 60% of Busan classified as potential danger
zones
Landslide damages frequently occurring outside of dander zones previously
identified using empirical-statistic models [usually weighting methods]
Problems with landslides in Korea
Increase of
Landslide areas
Seoul40%
Busan60%
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Empirical-Statistic model : previous method Physics-based model : our maps
Landslide hazard map
Limitation of existing empirical-statistic model : Seoul 2011
☞ Empirical-statistic model do not consider groundwater!! Most dangerous area is classified as safe area!!☞ Debris avalanch due to landslide occurred in the circled area killed 3 people in notorious Woomyon Mt. disaster on July 27, 2011 in Seoul!!
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Our new maps
Accurate prediction of landslide hazard areas [Woomyon Mt. in Seoul]
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Empirical-Statistic model : previous method Physics-based model : our maps
Landslide hazard map
Limitation of existing empirical-statistic model : Busan 2009
☞ Empirical-statistic model do not consider groundwater!! Most dangerous area is classified as no threat zone!!☞ Debris avalanch due to landslide occurred in the circled area killed 1 people in the apartment on July 16, 2009 in Busan!!
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Our new maps
Accurate prediction of landslide hazard areas [Busan 2009]