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Proposed Landslide Warning System Based on Real-time Rainfall Data
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  • Journal title : The Journal of Engineering Geology
  • Volume 26, Issue 2,  2016, pp.197-205
  • Publisher : The Korea Society of Engineering Gelolgy
  • DOI : 10.9720/kseg.2016.2.197
 Title & Authors
Proposed Landslide Warning System Based on Real-time Rainfall Data
Kim, Hong Gyun; Park, Sung Wook; Yeo, Kang Dong; Lee, Moon Se; Park, Hyuck Jin; Lee, Jung Hyun; Hong, Sung Jin;
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 Abstract
Rainfall-induced landslide disaster case histories are typically required to establish critical lines based on the decrease coefficient for judging the likelihood of slope collapse or failure; however, reliably setting critical lines is difficult because the number of nationwide disaster case histories is insufficient and not well distributed across the region. In this study, we propose a method for setting the critical area to judge the risk of slope collapse without disaster case history information. Past 10 years rainfall data based on decrease coefficient are plotted as points, and a reference line is established by connecting the outermost points. When realtime working rainfall cross the reference line, warning system is operating and this system can be utilized nationwide through setting of reference line for each AWS (Automatic Weather Station). Warnings were effectively predicted at 10 of the sites, and warnings could have been issued 30 min prior to the landslide movement at eight of the sites. These results indicate a reliability of about 67%. To more fully utilize this model, it is necessary to establish nationwide rainfall databases and conduct further studies to develop regional critical areas for landslide disaster prevention.
 Keywords
Slope Failure;Rainfall-induced Landslide;Risk of Collapse;Disaster Case Histories;Decrease Coefficient;Critical Line;Critical Area;Reference Line;
 Language
Korean
 Cited by
 References
1.
Aleotti, P. and Chowdhury, R., 1999, Landslide hazard assessment: summary review and new perspectives, Bulletin of Engineering Geology and the Environment, 58(1), 21-44. crossref(new window)

2.
Chacón, J., Irigaray, C., Fernández, T., and El Hamdouni, R., 2006, Engineering geology maps: landslides and geographical information systems, Bulletin of Engineering Geology and the Environment, 65(4), 341-411. crossref(new window)

3.
Choi, J. R., Kim, G. W., Jee, Y. K., and Park, I. C., 2015, Development and Application of Precise Debris-flow Risk Assessment Index in Urban Area, J. Korean Soc. Hazard Mitig., 15(3), 107-113 (in Korean with English abstract). crossref(new window)

4.
Einstein, H. H.,1988, Special lecture: Landslide risk assessment procedure, Proceedings of 5th International Symposium on Landslides, Lausanne, 2, 1075-1090.

5.
Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E., and Savage, W. Z., 2008, Guidelines for landslide susceptibility, hazard and risk zoning for land use planning, Engineering Geology, 102(3-4), 85-98. crossref(new window)

6.
Griffiths, D. V., Huang, J. S., and Fenton, G. A., 2011, Probabilistic infinite slope analysis, Computers and Geotechnics, 38(4), 577-584. crossref(new window)

7.
Guzzetti, F., Carrara, A., Cardinali, M., and Reichenbach, P., 1999, Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy, Geomorphology, 31(1), 181-216. crossref(new window)

8.
Ham, D. H. and Hwang, S. H., 2014, Review of Landslide Forecast Standard Suitability by Analysing Landslide-inducing Rainfall, J. Korean Soc. Hazard Mitig., 14(3), 299-310 (in Korean with English abstract). crossref(new window)

9.
Ho, J. Y., Lee, K. T., Chang, T. C., Wang, Z. Y., and Liao, Y. H., 2012, Influences of spatial distribution of soil thickness on shallow landslide prediction, Engineering Geology, 124, 38-46. crossref(new window)

10.
Kim, G. H., Won, S. Y., and Mo, S. H., 2014, Umyeon Mountain Debris Flow Movement Analysis Using Random Walk Model, Journal of the Korean Society of Surveying, 32(5), 515-525 (in Korean with English abstract).

11.
Kim, S. E., Paik, J. C., and Kim, K. S., 2013, Run-out Modeling of Debris Flows in Mt. Umyeon using FLO-2D, Journal of the Korean Society of Civil Engineers, 33(3), 965-974 (in Korean with English abstract). crossref(new window)

12.
Kim, S. H., 2013, Study on Behavior Characteristics and Systematic Maintenance of Road Slopes in Korea, PhD. thesis, Busan University, 1p & 179-192p (in Korean with English abstract).

13.
Lee, J. H. and Park, H. J., 2012, Assessment of Landslide Susceptibility using a Coupled Infinite Slope Model and Hydrologic Model in Jinbu Area, Gangwon-Do, Econ. Environ. Geol., 45(6), 697-707 (in Korean with English abstract). crossref(new window)

14.
NDMI (National Disaster Management Institute), 2012, GIS-Based Warning System for Steep Slope, 39-44p (in Korean with English abstract).

15.
NDMI (National Disaster Management Institute), 2013, Development of Warning System for Nationwide Steep Slope, 27-29p (in Korean with English abstract).

16.
NIDP (National Institute for Disaster Prevention), 2007, A Study on the Early Warning System for Damage Mitigation of Geotechnical Disasters, 119-120p (in Korean with English abstract).

17.
NIDP (National Institute for Disaster Prevention), 2008, Study on the Applicability of an Early Warning System using Rainfall Data in Korea, 100-128p (in Korean with English abstract).

18.
NIDP (National Institute for Disaster Prevention), 2009, Real-time Rainfall Data Analysis and Visualization Module Development of the Steep Slope Analysis System, 165-181p (in Korean with English abstract).

19.
Park, H. J., Lee, J. H., and Woo, I., 2013, Assessment of rainfall-induced shallow landslide susceptibility using a GIS-based probabilistic approach, Engineering Geology, 16(1), 1-15. crossref(new window)

20.
Santoso, A. M., Phoon, K. K., and Quek, S. T., 2011, Effects of soil spatial variability on rainfall-induced landslides, Computers and Structures, 89(11), 893-900. crossref(new window)

21.
Yoon, D. H. and Koh, J. H., 2012, A Study on Analysis of Landslide Disaster Area using Cellular Automata : An Application to Umyeonsan, Seocho-Gu, Seoul, Korea, Journal of Korea Spatial Information Society, 20(1), 9-18 (in Korean with English abstract). crossref(new window)