GIS-based Subsidence Hazard Analysis on Abandoned Coal Mine Sites Combining the Frequency Ratio and Radius of Influence

Jin Son; Jangwon Suh; Huiuk Yi; Hyeong-Dong Park; Seungho Lee

doi:10.12972/ksmer.2015.52.6.567

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2015 Vol.52, Issue 6 Preview Page Next Page

Research Paper

GIS-based Subsidence Hazard Analysis on Abandoned Coal Mine Sites Combining the Frequency Ratio and Radius of Influence 빈도비 모델과 지표 영향 반경을 결합한 GIS 기반의 폐탄광지역 지반침하 위험도 분석기법 개발

31 December 2015. pp. 567-576

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Abstract

A method for initializing grain mass and maintaining dry condition of a core sample has been suggested. It is validated by effective porosity and resistivity measurements of cement core samples. Injection of noble gas such as nitrogen gas during the drying process of a core sample can ignore the environmental factors of the core beforehand and initialize the grain mass and sustain the core in dry condition for a while by keeping the pore space from infiltrating the humidity in the air. Injection of nitrogen gas into the dried cement cores effectively block or delay the humidity invasion into the pore space, so that one can get grain mass with minimum humidity in its pore space, and can perform an long term resistivity monitoring of the dry sample. Based on the suggested method and experiment results, it is suggested to modify the standard test method for effective porosity and density of rocks.

Keywords

Mining subsidence

GIS

Frequency ratio

Radius of influence

본 연구에서는 지리정보시스템 환경에서 주변지역(지표영향반경내)의 특성값을 고려할 수 있는 통계적 기법 기반의 광산 지반침하 위험도 평가 모델을 개발하였다. 연구지역의 수치갱내도와 수치지형도로부터 지반침하를 유발시킬 수 있는 지형경사도, 지표수 흐름누적양, 갱도 심도, 갱도 밀집도, 갱도와의 거리 등 5가지 인자를 도출하였으며 영향인자와 지반침하 발생이력 자료와의 상관관계를 분석하기 위해 빈도비 모델을 적용하였다. 기존의 통계적 접근법이 영향인자 레이어 별 동일 격자셀에 해당하는 빈도비를 합산함으로써 해당 격자셀의 특성값만을 고려하는 한계점을 보완하기 위하여 본 연구에서는 갱도 심도와 한계각으로부터 영향반경을 산정하여 일정 거리내의 빈도비 합산값의 평균값을 위험도로 산정할 수 있는 기법을 개발하였다. 기존 연구기법과의 비교를 위하여 강원도 삼척시에 위치한 폐탄광 지역을 대상으로 현장 적용을 통한 사례 연구를 수행하였다. 두 분석기법으로부터 산정된 지반침하 발생 위험도를 곡선하면적 기법을 이용하여 예측정확도를 비교분석한 결과, 영향반경을 고려한 분석방법(75.90%)이 기존 기법(67.49%)에 비해 8.31% 포인트만큼 높은 예측 정확도를 보인 것으로 확인되었다.

키워드

광산 지반침하

지리정보시스템

빈도비 모델

영향 반경

References

Aksoy, C.O., Kose, H., Onargan, T., Koca, Y. and Heasley, K., 2004, “Estimation of limit angle using laminated displacement discontinuity analysis in the Soma coal field, Western Turkey,” International Journal of Rock Mechanics and Mining Sciences, Vol. 41, No, 4, pp. 547-556.

Choi, J.K., Kim, K.D., Lee, S., Kim, I.S. and Won, J.S., 2007, “Prediction of ground subsidence hazard area using GIS and probability model near abandoned underground coal mine,” Economic and environmental geology, Vol. 40, No. 3, pp. 295-306.

Choi, S.O., Jeon, Y.S., Park, E.S., Jung, Y.B. and Chun, D.S., 2005, “Analysis of subsidence mechanism and development of evaluation program,” Tunnel and under-ground space, Vol. 15, No. 3, pp. 195-212.

Choi, S.O., Kim, J. and Choi, G., 2009, “Application of fuzzy reasoning method for prediction of subsidence occurrences in abandoned mine area,” Tunnel and under-ground space, Vol. 19, No. 5, pp. 463-472.

Coal Industry Promotion Board, 1999, “Ground stability basic survey report,” Coal Industry Promotion Board, Seoul, No. 97-08, pp. 5-38.

Djamaluddin, I., Mitani, Y. and Esaki, T., 2011, “Evaluation of ground movement and damage to structures from Chinese coal mining using a new GIS coupling model,” International Journal of Rock Mechanics and Mining Sciences, Vol. 48, No. 3, pp. 380-393.

Esaki, T., Djamaluddin, I. and Mitani, Y., 2008, “A GIS-based prediction method to evaluate subsidence-induced damage from coal mining beneath a reservoir, Kyushu, Japan,” Quarterly Journal of Engineering Geology and Hydrogeology, Vol. 41, pp. 381-392.

Jung, Y.B., Song, W.K. and Kang, S.S., 2009, “Development of Subsidence Hazard Estimation Method Based on the Depth of Gangway,” Tunnel and underground space, Vol. 18, No. 4, pp. 272-279.

Kim, K.D., Lee, S.R., Oh, H.J., Choi, J.K. and Won, J.S., 2006, “Assessment of ground subsidence hazard near an abandoned underground coal mine using GIS,” Environmental Geology, Vol. 50, No. 8, pp. 1183-1191.

Kim, K.D., Lee, S. and Oh, H.J., 2009, “Prediction of ground subsidence in Samcheok City, Korea using artificial neural networks and GIS,” Environmental Geology, Vol. 58, pp. 61-70.

Minami, M., Hatakeyama, A., Mitchell, A., Booth, B., Payne, B., Eicher, C., Blades, E., Sims, I., Bailey, J., Brennan, P. and Stephens, S., 2000, “Using ArcMap: GIS,” Enviro-nmental Systems Research Institute, 1st edition, p. 598.

MIRECO, 2012, 2012 Yearbook of MIRECO Statistics, Mine Reclamation Corporation, Seoul, Korea, p. 5.

MKE, 2011, 2nd-phase master plan of the mine reclamation (2012-2016), Seoul, Korea.

Oh, H.J. and Lee, S., 2010, “Assessment of ground subsidence using GIS and the weights of evidence model,” Engineering Geology, Vol. 115, pp. 36-48.

Peter, D. 2011, “SME Mining Enginering Handbook,” Society of Mining, Metallurgy, and Exploration, 3rd edition, p. 629.

Sheorey, P.R., Loui, J.P., Singh, K.B. and Singh, S.K., 2000, “Ground subsidence observations and a modified influence function method for complete subsidence prediction,” International Journal of Rock Mechanics and Mining Sciences, Vol. 37, pp. 801-818.

Suh, J., Choi, Y., Park, H.D., Kwon, H.H., Yoon, S.H. and Go, W.R., 2010, “Application of frequency ratio and analytic hierarchy process to subsidence hazard assessment around abandoned coal mine,” Journal of the korean society for geosystem engineering, Vol. 47, No. 5, pp. 690-704.

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 & Engineering Geoscience, Vol. 19, No. 1, pp. 69-83.

Suh, J., Choi, Y., Park, H.D. and Lee, S., 2015, “Development of a Software for Assessing Mining Subsidence Susceptibility using GIS Combined with Frequency Ratio, Fuzzy Mem-bership Functions and Analytic Hierarchy Process,” J. Korean Soc. Miner. Energy Resour.Eng., Vol. 52, No. 4, pp. 364-379.

Information

Publisher :The Korean Society of Mineral and Energy Resources Engineers
Publisher(Ko) :한국자원공학회
Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
Journal Title(Ko) :한국자원공학회지
Volume : 52
No :6
Pages :567-576
Received Date : 2015-11-11
Revised Date : 2015-12-01
Accepted Date : 2015-12-17
DOI :https://doi.org/10.12972/ksmer.2015.52.6.567

Journal of the Korean Society of Mineral and Energy Resources Engineers ISSN:2288-0291(Print) 2288-2790(Online) 한국자원공학회지

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