Young-Suk Song

Dr. Young-Suk Song

Korea Institute of Geoscience & Mineral Resources (KIGAM), Daejeon 34132, Korea
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 August 2009 in Landslides
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Journal Article
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GKGi-Chun Kang
Gi-Chun Kang
Young-Suk SongYoung-Suk Song
Young-Suk Song
TKTae-Hyung Kim
Tae-Hyung Kim

1 August 2016 in Engineering Geology
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Journal Article
Closed access
Young-Suk SongYoung-Suk Song
Young-Suk Song
BCByung-Gon Chae
Byung-Gon Chae
JLJintae Lee
Jintae Lee

29 September 2015 in Journal of Mountain Science
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Journal Article
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KKKyeong-Su Kim
Kyeong-Su Kim
Young-Suk SongYoung-Suk Song
Young-Suk Song

1 January 2022 in Journal of Hazardous Materials
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Journal Article
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MPMinji Park
Minji Park
SKSookyung Kim
Sookyung Kim
SKSeoha Kim
Seoha Kim
JRJungho Ryu
Jungho Ryu
Young-Suk SongYoung-Suk Song
Young-Suk Song
HJHoon Young Jeong
Hoon Young Jeong

25 December 2011 in Environmental Earth Sciences
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Young-Suk SongYoung-Suk Song
Young-Suk Song
KKKyeong-Su Kim
Kyeong-Su Kim
KWKyu-Seok Woo
Kyu-Seok Woo

26 April 2021 in Sensors
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Journal Article
Open access
PDF file
Young-Suk SongYoung-Suk Song
Young-Suk Song
BCByung-Gon Chae
Byung-Gon Chae
KKKyeong-Su Kim
Kyeong-Su Kim
JPJoon-Young Park
Joon-Young Park
HOHyun-Joo Oh
Hyun-Joo Oh
SJSueng Won Jeong
Sueng Won Jeong
This study describes the development of a landslide monitoring system for the purpose of reducing damages caused by landslides in natural terrain. The system was developed to analyze the effects of landslide-inducing rainfall and the behavior of slopes through 12 monitoring stations that are distributed across eight national parks in Korea. Several sensors and a data acquisition equipment to monitor landslide were installed in each station. The composition of the system and its operating program were designed to efficiently manage the sizeable amounts of real-time monitoring data that are collected from the various stations. To test the potential of the developed system for reliable landslide hazard evaluations, data measured over a five-year period by the two monitoring stations in Jirisan National Park were analyzed. Subsequently, the suction stress of the soil over the monitoring period was calculated by applying laboratory test result of the geotechnical and unsaturated soil properties in the analysis domain area. The infinite slope stability analysis combined with an effective stress concept based on the suction stress was applied to calculate the factor of safety. This method also enabled the temporal and quantitative evaluation of slope stability in natural terrain. In addition, based on the monitoring and slope stability analysis results, an analysis for the spatial classification of landslide hazards was conducted. The analysis results quantitatively and statistically demonstrated that 98% of historical landslide initiation areas were classified as high hazard levels.