Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines |
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| Authors: | Hyun-Joo Oh Seung-Chan Ahn Jong-Kuk Choi Saro Lee |
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| Institution: | (1) Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources (KIGAM), 92 Gwahang-no Yuseong-gu, Daejeon, 305-350, Korea;(2) New Ventures Department I, Korea National Oil Corporation (KNOC), 1588-14 Gwanyang-dong, Dongan-gu, Anyang, Gyeonggi-do, 431-711, Korea;(3) Korea Ocean Satellite Centre, Korea Ocean Research and Development Institute, 454 Haean-no, Sangrok-gu, Ansan, Gyeonggi, 426-744, Korea; |
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| Abstract: | Ground subsidence around abandoned underground coal mines can cause much loss of life and property. We analyze factors that
can affect ground subsidence around abandoned mines in Jeongahm in Kangwon-do by sensitivity analysis in geographic information
system (GIS). Spatial data for the subsidence area, topography and geology and various ground engineering data were collected
and used to make a factor raster database for a ground subsidence hazard map. To determine the importance of extracted subsidence-related
factors, frequency ratio model and sensitivity analysis were employed. Sensitivity analysis is a method for comparing the
combined effects of all factors except one. Sensitivity analysis and its verification showed that using all factors provided
91.61% accuracy. The best accuracy was achieved by not considering the groundwater depth (92.77%) and the worst by not considering
the lineament (85.42%). The results show that the distance from the lineament and the distance from the drift highly affected
the occurrence of ground subsidence, and the groundwater depth, land use and rock mass rating had the least effects. Thus,
we determined causes of ground subsidence in the study area and this information could help in the prediction of ground subsidence
in other areas. |
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