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http://dx.doi.org/10.7474/TUS.2020.30.2.149

Logistic Regression and GIS based Urban Ground Sink Susceptibility Assessment Considering Soil Particle Loss  

Suh, Jangwon (Department of Energy and Mineral Resources Engineering, Kangwon National University)
Ryu, Dong-Woo (Geo-ICT Convergence Research Department, Korea Institute of Geoscience & Mineral Resources (KIGAM))
Yum, Byoung-Woo (Center for CO2 Geological Storage, Korea Institute of Geoscience & Mineral Resources (KIGAM))
Publication Information
Tunnel and Underground Space / v.30, no.2, 2020 , pp. 149-163 More about this Journal
Abstract
This paper presents a logistic regression and GIS based urban ground sink susceptibility assessment using underground facility information considering soil particle loss. In the underground environment, the particle loss due to water flow or groundwater level change leads to the occurrence and expansion of cavities, which directly affect the ground sink. Four different contributory factors were selected according to the two underground facility domains (water pipeline area, sewer pipeline area) and subway line area. The logistic regression method was used to analyze the correlation and to derive the regression equation between the ground sink inventory and the contributory factors. Based on these results, three ground sink susceptibility maps were generated. The results obtained from this study are expected to provide basic data on the area susceptible to ground sink and needed to safety monitoring.
Keywords
Ground sink; Susceptibility; GIS; Particle loss; Underground facility;
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Times Cited By KSCI : 8  (Citation Analysis)
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1 국토교통부(Ministry of Land, Infrastructure and Transport; MOLIT), 2015, 지반침하(함몰) 안전관리 매뉴얼, 67p.
2 Bertram, G.E., 1940, An Experimental Investigation of Protective Filters, Harvard Soil Mechanics Series No 7, Publication No. 267, Harvard University, Cambridge, Mass., 1-21.
3 Cho, S.H., 2015, The identity of the sinkhole, CIR Press, Seoul, 211p.
4 Choi, S.K., Back, S.H., An, J.B. and Kwon, T.H. 2016. Geotechnical investigation on causes and mitigation of ground subsidence during underground structure construction. Journal of Korean Tunnelling and Underground Space Association, Vol. 18(2), 143-154. doi.org/10.9711/KTAJ.2016.18.2.143   DOI
5 Gyeonggi Research Institute (GRI), 2014, Sinkholes swallowing cities, causes and countermeasures, No. 156
6 Hong, W.T., Kang, S. and Lee, J.S. 2015. Application of Ground Penetrating Radar for Estimation of Loose Layer. Journal of the Korean Geotechnical Society, Vol. 31(11), 41-48. doi.org/10.7843/kgs.2015.31.11.41   DOI
7 Ham, M.S., 2019, Correlation Study between Sewer Pipes buried Underground in Metropolitan and Road Sinking, PhD dissertation, University of Seoul, Seoul, South Korea, 114p.
8 Kim, Y., Kim, J.B., Kim, D. and Han, J.G. 2017. Experimental Study on Generating mechanism of The Ground. Journal of Korean Geosynthetics Society, Vol. 16(2), 139-148. doi.org/10.12814/jkgss.2017.16.2.139   DOI
9 Lee, J.H., Jin, H.S., Baek, Y. and Yoon, H.S. 2017. Evaluation of Land Subsidence Risk Depending on Grain Size and Verification using Numerical Analysis. The Journal of Engineering Geology, Vol. 27(2), 133-141. doi.org/10.9720/kseg.2017.2.133   DOI
10 Lee, S.M. and Yoon, H.M., 2017. Study for Improvement of Policy on Ground Subsidence Prevention in Urban Areas. Seoul Studies, Vol. 18(1), 27-42.
11 Lee, Y.H. and Kim, J.R., 2004, A Proposal of the Evaluation Method for Rock Slope Stability Using Logistic Regression Analysis, Tunnel & Underground Space, Vol. 14(2), 133-141.
12 Park, J.Y., Jang, E., Kim, H.J. and Ihm, M.H. 2017. Classification of Ground Subsidence Factors for Prediction of Ground Subsidence Risk (GSR). The Journal of Engineering Geology, Vol. 27(2), 153-164. doi.org/10.9720/kseg.2017.2.15.   DOI
13 U.S. Corps of Engineers., 1948, Laboratory Investigation of Filters for Enid and Grenada Dam, U. S. Army Waterways Experiment Station, Vicksburg, Miss., Technical Memorandum 3-245.
14 Suh, J., Choi, Y., Park, H.D., Yoon, S.H. and Go, W.R. 2013. Subsidence hazard assessment at the samcheok coalfield, South Korea: A case study using GIS. Environmental and Engineering Geoscience, Vol. 19(1), 69-83. doi.org/10.2113/gseegeosci.19.1.69   DOI