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Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines

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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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References

  • Ambrožič T, Turk G (2003) Prediction of subsidence due to underground mining by artificial neural networks. Comput Geosci 29(5):627–637

    Article  Google Scholar 

  • Arhonditsis GB, Brett MT (2005) Eutrophication model for Lake Washington (USA): Part I. Model description and sensitivity analysis. Ecol Model 187:140–178

    Article  Google Scholar 

  • Choi J-K, Kim K-D, Lee S, Won J-S (2010) Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea. Environ Earth Sci 59(5):1009–1022

    Article  Google Scholar 

  • Coal Industry Promotion Board (CIPB) (1996) Fundamental investigation report of the stability test for Hwajeon. Coal Industry Promotion Board, Seoul, 96-04, pp 1–549

  • Coal Industry Promotion Board (CIPB) (1997) A study on the mechanism of subsidence over abandoned mine area and the construction method of subsidence prevention. Coal Industry Promotion Board, Seoul, 97-06, pp 1–67

  • Joo WH, Jang YS, Kim YI (1998) Sensitivity analysis of the leachate level of a landfill to hydraulic properties of cover soil and waste. J Kor Soc Groundw Environ 5(2):110–115

    Google Scholar 

  • Kim KD, Lee S, Oh HJ, Choi JK, Won JS (2006) Assessment of ground subsidence hazard near an abandoned underground coal mine using GIS. Environ Geol 50(8):1183–1191

    Article  Google Scholar 

  • Kim KD, Lee S, Oh HJ (2009) Prediction of ground subsidence in Samcheok City, Korea using artificial neural networks and GIS. Environ Geol 58(1):61–70

    Article  Google Scholar 

  • Lee S, Dan NT (2005) Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: focus on the relationship between tectonic fractures and landslides. Environ Geol 48:778–787

    Article  Google Scholar 

  • Lee S, Talib JA (2005) Probabilistic landslide susceptibility and factor effect analysis. Environ Geol 47:982–990

    Article  Google Scholar 

  • Lee S, Oh H-J, Kim K-D (2010) Statistical spatial modeling of ground subsidence hazard near an abandoned underground coal mine. Disaster Adv 3(1):11–23

    Google Scholar 

  • Oh H-J, Lee S (2010) Assessment of ground subsidence using GIS and the weights-of-evidence model. Eng Geol. doi:10.1016/j.enggeo.2010.06.015

  • Quanyuan W, Jiewu P, Shanzhong Q, Yiping L, Congcong H, Tingxiang L, Limei H (2009) Impacts of coal mining subsidence on the surface landscape in Longkou city, Shandong Province of China. Environ Earth Sci 59(4):783–791

    Article  Google Scholar 

  • The Geological Society of Korea (1999) Geology of Korea. Sigma Press, Seoul

    Google Scholar 

  • Turer D, Nefeslioglu HA, Zorlu K, Gokceoglu C (2008) Assessment of geo-environmental problems of the Zonguldak province (NW Turkey). Environ Geol 55(5):1001–1014

    Article  Google Scholar 

  • Waltham AC (1989) Ground subsidence. Blackie & Son Ltd, New York, pp 49–97

    Google Scholar 

  • Zahiri H, Palamara DR, Flentje P, Brassington GM, Baafi E (2006) A GIS-based weights-of-evidence model for mapping cliff instabilities associated with mine subsidence. Environ Geol 51(3):377–386

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank the Coal Industry Promotion Board for providing whole investigation reports and basic GIS database. This research was supported by the Basic Research Project of the Korea Institute of Geoscience and Mineral Resources (KIGAM) funded by the Ministry of Knowledge and Economy of Korea.

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Authors and Affiliations

  1. Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources (KIGAM), 92 Gwahang-no Yuseong-gu, Daejeon, 305-350, Korea

    Hyun-Joo Oh & Saro Lee

  2. New Ventures Department I, Korea National Oil Corporation (KNOC), 1588-14 Gwanyang-dong, Dongan-gu, Anyang, Gyeonggi-do, 431-711, Korea

    Seung-Chan Ahn

  3. Korea Ocean Satellite Centre, Korea Ocean Research and Development Institute, 454 Haean-no, Sangrok-gu, Ansan, Gyeonggi, 426-744, Korea

    Jong-Kuk Choi

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  1. Hyun-Joo Oh
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  2. Seung-Chan Ahn
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  3. Jong-Kuk Choi
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  4. Saro Lee
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Correspondence to Saro Lee.

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Oh, HJ., Ahn, SC., Choi, JK. et al. Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines. Environ Earth Sci 64, 347–358 (2011). https://doi.org/10.1007/s12665-010-0855-1

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  • DOI: https://doi.org/10.1007/s12665-010-0855-1

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