Browse > Article
http://dx.doi.org/10.14481/jkges.2019.20.6.15

Comparison of Prediction Models for Identification of Areas at Risk of Landslides due to Earthquake and Rainfall  

Jeon, Seongkon (Department of Civil Engineering, Yeoju Institute of Technology)
Baek, Seungcheol (Department of Civil Engineering, Andong National University)
Publication Information
Journal of the Korean GEO-environmental Society / v.20, no.6, 2019 , pp. 15-22 More about this Journal
Abstract
In this study, the hazard areas are identified by using the Newmark displacement model, which is a predictive model for identifying the areas at risk of landslide triggered by earthquakes, based on the results of field survey and laboratory test, and literature data. The Newmark displacement model mainly utilizes earthquake and slope related data, and the safety of slope stability derived from LSMAP, which is a landslide prediction program. Backyang Mt. in Busan where the landslide has already occurred, was chosen as the study area of this research. As a result of this study, the area of landslide prone zone identified by using the Newmark displacement model without earthquake factor is about 1.15 times larger than that identified by using LSMAP.
Keywords
Landslide; Earthquake; Prediction of hazard areas; Newmark displacement model; LSMAP;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Arias, A. (1970), A measure of earthquake intensity, in Hansen, R. J. (Ed), Seismic design for nuclear power plants, Massachusetts Institute of Technology Press, Cambridge, MA, pp. 438-483.
2 Choi, W. I., Choi, E. H. and Baek, S. C. (2017), Analysis of Hazard Areas by Sediment Disaster Prediction Techniques Based on Ground Characteristics, Vol. 18, No. 12, pp. 47-57 (In Korean).   DOI
3 Duncan, J. M. and Wright, S. G. (2005), Soil Strength and Slope Stability, John Wiley and Sons, pp. 312.
4 ESRI (2012), ArcGIS 10.1.
5 Evans, S. G., Guthrie, N. J., Roberts, N. J. and Bishop N. F. (2007), The disastrous 17 February 2006 rockslide-debris avalanche on Leyte Island, Philippines : a catastrophic landslide in tropical mountain terrain, Natural Hazards and Earth System Science, Vol. 7, pp. 89-101.   DOI
6 Jeon, S. G., Kim, D. M., Choi, W. I. and Choi, E. H. (2014), Prediction of the landslide and effect on heritage located in mountain induced earthquake, Journal of Korean Society Hazard Mitigation, Vol. 14, No. 2, pp. 139-148 (In Korean).   DOI
7 Jibson, R. W. and Keefer, D. K. (1993), Analysis of the seismic origin of landslides: Examples from the new madrid seismic zone, Geological Society of America Bulletin, Vol. 105, No. 4, pp. 521-536.   DOI
8 Jibson, R. W. and Keefer, D. K. (1994), Analysis of the origin of landslides in the New Madrid seismic zone, U.S. Geological Survey Porfessional Paper 1538-D, pp. D1-D23.
9 Jibson, R. W., Harp, E. L. and Michael, M. A. (2000), A method for producing digital probabilistic seismic landslide hazard maps, U.S. Geological Survey, Vol. 58, pp. 271-289.
10 Jun, K. J. and Yune, C. Y. (2015), Analysis of slope hazard triggering factors through field investigation in Korea over the past four year, Journal of the Korean Geotechnical Society, Vol. 31, No. 5, pp. 47-58 (In Korean).   DOI
11 Jung, K. H., Jung, S. J., Sonn, Y. K. and Hong, S. Y. (2007), Classification of hydrologic soil group of Korean soil, National Institute of Agricultural Science and Technology, pp. 141-176 (In Korean).
12 Jung, S. M. (2018), Development of 3D urban area sediment disaster prediction simulation technology and construction of integrated management system, Report, 15SCIP-B 069989-03, pp. 245-257 (In Korean).
13 KIGAM (1978), Dong-rai geologic map.
14 Iverson, R. M. (2000), Landslide triggering by rain infiltration, Water Resources Research, Vol. 36, No. 7, pp. 1897-1940.   DOI
15 Kim, J. S. (2011), Assessment of landslide hazard induced by earthquake and groundwater level variation, Master's thesis, Sejong university, 82p. (In Korean).
16 KMA (2017), Annual climatological report, pp. 128-130.
17 Korea Forest Research Institute (2003), Tree resources evaluation program user's guide (In Korean).
18 National Disaster Management Research Institute (2004), A study on the debris-flow and mitigation techniques, 11-1310148-000132-01 (In Korean).
19 Korea Forest Service (2016), Forest Soil Digital Mapping, National Spatial Information Clearinghouse, GRS80/TM/1:25,000 (In Korean).
20 Makdishi, F. I. and Seed, H. B. (1978), Simplified procedure for estimating dam and embankment earthquake induced deformations, Journal of the Geotechnical Engineering Division, Vol. 104, No. GT7, pp. 849-867.   DOI
21 Newmark, N. M. (1965), Effects of earthquakes on dams and embankments, Geotechnique, Vol. 15, Issue. 2, pp. 139-160.   DOI
22 Oh, S. R. and Lee, G. H. (2014), Slope stability analysis at catchment scale using spatially-distributed wetness index, Journal of Korean Geographers, Vol. 3, No. 2, pp. 111-126 (In Korean).   DOI
23 Oh, J. and Park, H. J. (2014), Analysis of landslide triggering rainfall threshold for prediction of landslide occurrence, Journal of Korean Society Hazard Mitigation, Vol. 14, No. 2, pp. 115-129 (In Korean).   DOI
24 Refice, A. and Capolongo, D. (2002), Probabilistic modeling of uncertainties in earthquake-induced landslide hazard assessment, Computers and Geosciences, Vol. 28, pp. 735-749.   DOI
25 KMA (2018), http://www.weather.go.kr/weather/earthquake_volcano/domestictrend.jsp.
26 Wang, H., Wang, G., Wang, F., Sassa, K. and Chen Y. (2008), Probabilistic modeling of seismically triggered landslides using Monte Carlo simulations, Landslides, Vol. 5, No. 4, pp. 387-395.   DOI
27 Water Management Information System, http://www.wamis.go.kr/, (2017. 09. 20).
28 Wilson, R. C. and Keefer, D. K. (1985), Predicting areal limits of earthquake induced landsliding. In: Ziony JI. (Ed.), Evaluating Earthquake Hazards in the Los Angeles Region - An Earth-science Perspective. U.S. Geological survey, pp. 316-345.
29 Wilson, R. C. and Keefer, D. K. (1983), Dynamic analysis of a slope failure from the 6 August 1979 Coyote lake, California earthquake, Bulletin of the Seismological Society of America, Vol. 73, No. 3, pp. 863-877.   DOI