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NTIS 바로가기한국지반환경공학회논문집 = Journal of the Korean Geoenvironmental Society, v.23 no.8, 2022년, pp.5 - 10
이성열 (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology) , 강재모 (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology) , 김진영 (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Ground Subsidence has been continuously occurring in densely populated downtown. The main cause of ground subsidence is the damaged underground facility like sewer. Currently, ground subsidence is being dealt with by discovering cavities in ground using GPR. However, this consumes large amount of ma...
Breiman, L. (2001), Random Forest. Machine Leaerning, Kluwer Academic Publishers, 45, pp. 5~32.
G. Ke, Q. Meng, T. Finley, T. Wang, W. Chen, W. Ma, Q. Ye and T. Liu. (2017), LightGBM: A Highly Efficient Gradient Boosting Decision Tree, Part of Advances in Neural Information Processing Systems 30.
Han, M. S. (2017), A risk assessment of ground subsidence by GPR and CCTV investigation, Master's thesis, Seoul National University of Science and Technology (In Korean).
Jin, Y. S. (2020), The Analysis on Correlation of Precipitation and Risk Factors to the Soil Subsidence, Ph D. dissertation, Chonnam National University, pp. 104~105 (In Korean).
Kim, K. Y. (2018), Susceptibility Model for Sinkholes Caused by Damaged Sewer Pipes Based on Logistic Regression, Master's thesis, Seoul National University.
Kuwano, R., Horii, T., Kohashi, H. and Yamauchi, K. (2006), Defects of sewer pipes causing cave-in's in the road, Proc. 5th International Symposium on New Technologies for Urban Safety of Mega Cities in Asia,Phuket, Thailand, pp. 347~353.
Lee, S. Y., Kim, J. Y., K, J. M. and Baek, W. J. (2022), Comparison of machine learning models to predict the occurrence of ground subsidence according to the characteristics of sewer, Journal of Korean Geo-Environmental Society, Vol. 23, Issue 4, pp. 5~10.
Mukunoki, T., Kuwano, N., Otani, J. and Kuwano, R. (2009), Visualization of three dimensional failure in sand due to water inflow and soil drainage from defected underground pipe using X-ray CT, Soils and Foundations, Vol. 49, No. 6.
Seoul Seokchon-dong Cavity Cause Investigation Committee, (2014), Cause Analysis of Cavity at Seokchon Underground Roadway and Road Cavity.
Seoul Institute (2016), The Road Subsidence Conditions and Safety Improvement Plans in Seoul (In Korean).
Tom Fawcett (2005), An introduction to ROC analysis, Patter Recognition Letters, Edited by Francesco Tortorella, Vol. 27 Issue 8, pp. 861~874.
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