Econ. Environ. Geol. 2007; 40(3): 295-306

Published online June 30, 2007

© THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY

Prediction of Ground Subsidence Hazard Area Using GIS and Probability Model near Abandoned Underground Coal Mine

Jong-Kuk Choi1, Ki-Dong Kim2*, Saro Lee3, Il-Soo Kim4 and Joong-Sun Won1

1Department of Earth System Sciences, Yonsei University, 134, Shinchon-Dong, Seodaemun-Gu, Seoul, 120-749, Korea
2Geohazard Information Laboratory, Department of Geoinformation Engineering, Sejong University, 98, Gunja-Dong, Gwangjin-Gu, Seoul, 143-747, Korea
3National Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources, 30, Kajeong-Dong, Taejeon, 305-350, Korea
4Korea National Oil Corporation, 1588-14, Gwanyang-Dong, Dongan-Gu, Anyang-City, Gyunggi-Do, 431-711, Korea

Correspondence to :

Ki-Dong Kim

kidong@yonsei.ac.kr

Received: February 26, 2007; Accepted: June 19, 2007

Abstract

In this study, we predicted areas vulnerable to ground subsidence near abandoned underground coal mine at Samcheok City in Korea using a probability (frequency ratio) model with Geographic Information System (GIS). To extract the factors related to ground subsidence, a spatial database was constructed from a topographical map, geological map, mining tunnel map, land characteristic map, and borehole data on the study area including subsidence sites surveyed in 2000. Eight major factors were extracted from the spatial analysis and the probability analysis of the surveyed ground subsidence sites. We have calculated the decision coefficient (R2) to find out the relationship between eight factors and the occurrence of ground subsidence. The frequency ratio model was applied to determine
each factor's relative rating, then the ratings were overlaid for ground subsidence hazard mapping. The ground subsidence hazard map was then verified and compared with the surveyed ground subsidence sites. The results of verification showed high accuracy of 96.05% between the predicted hazard map and the actual ground subsidence sites. Therefore, the quantitative analysis of ground subsidence near abandoned underground coal mine would be possible with a frequency ratio model and a GIS.

Keywords Ground subsidence, Abandoned underground coal mine, Frequency ratio model, Decision coefficient, GIS

Article

Econ. Environ. Geol. 2007; 40(3): 295-306

Published online June 30, 2007

Copyright © THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY.

Prediction of Ground Subsidence Hazard Area Using GIS and Probability Model near Abandoned Underground Coal Mine

Jong-Kuk Choi1, Ki-Dong Kim2*, Saro Lee3, Il-Soo Kim4 and Joong-Sun Won1

1Department of Earth System Sciences, Yonsei University, 134, Shinchon-Dong, Seodaemun-Gu, Seoul, 120-749, Korea
2Geohazard Information Laboratory, Department of Geoinformation Engineering, Sejong University, 98, Gunja-Dong, Gwangjin-Gu, Seoul, 143-747, Korea
3National Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources, 30, Kajeong-Dong, Taejeon, 305-350, Korea
4Korea National Oil Corporation, 1588-14, Gwanyang-Dong, Dongan-Gu, Anyang-City, Gyunggi-Do, 431-711, Korea

Correspondence to:

Ki-Dong Kim

kidong@yonsei.ac.kr

Received: February 26, 2007; Accepted: June 19, 2007

Abstract

In this study, we predicted areas vulnerable to ground subsidence near abandoned underground coal mine at Samcheok City in Korea using a probability (frequency ratio) model with Geographic Information System (GIS). To extract the factors related to ground subsidence, a spatial database was constructed from a topographical map, geological map, mining tunnel map, land characteristic map, and borehole data on the study area including subsidence sites surveyed in 2000. Eight major factors were extracted from the spatial analysis and the probability analysis of the surveyed ground subsidence sites. We have calculated the decision coefficient (R2) to find out the relationship between eight factors and the occurrence of ground subsidence. The frequency ratio model was applied to determine
each factor's relative rating, then the ratings were overlaid for ground subsidence hazard mapping. The ground subsidence hazard map was then verified and compared with the surveyed ground subsidence sites. The results of verification showed high accuracy of 96.05% between the predicted hazard map and the actual ground subsidence sites. Therefore, the quantitative analysis of ground subsidence near abandoned underground coal mine would be possible with a frequency ratio model and a GIS.

Keywords Ground subsidence, Abandoned underground coal mine, Frequency ratio model, Decision coefficient, GIS

    KSEEG
    Apr 30, 2024 Vol.57 No.2, pp. 107~280

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