Development of a Software for Assessing Mining Subsidence Susceptibility using
GIS Combined with Frequency Ratio, Fuzzy Membership Functions
and Analytic Hierarchy Process

doi:10.12972/ksmer.2015.52.4.364

All Issue

2015 Vol.52, Issue 4 Preview Page Next Page

Research Paper

Development of a Software for Assessing Mining Subsidence Susceptibility using GIS Combined with Frequency Ratio, Fuzzy Membership Functions and Analytic Hierarchy Process GIS와 빈도비 모델, 퍼지 소속 함수, 계층분석기법을 결합한상대적 광산 지반침하 발생 위험도 평가 소프트웨어 개발: 서장원 · 최요순 · 박형동 · 이승호
Jangwon Suh, Yosoon Choi, Hyeong-Dong Park and Seungho Lee

31 August 2015. pp. 364-379

PDF

Abstract

This paper presents a GIS-based software for evaluating subsidence susceptibility in abandoned mineareas. The software is designed to combine frequency ratio model, fuzzy membership functions, analytic hierarchyprocess to prioritize areas vulnerable to subsidence incorporating 15 contributing factors which can be extractedfrom Mine GIS of Mine Reclamation Corporation. ArcObject programming using Visual Basic.NET was performedto implement the software as an extension toolbar in ArcMap program. It enables to provide 2D or 3D visualizationof final resultant data obtained from four step processes (factor selection, weighting, correlation analysis, mappingoption). Application of the software to the abandoned coal mine areas in Gangwon-do revealed that the softwarecan analyze ground stability considering drift, topography, geology and hydrological conditions. Consequently,it gave a reasonable subsidence susceptibility map by spatially comparing with subsidence inventory map. Thedeveloped software can be effectively utilized to support subsidence prediction and management of abandonedmine areas.

Keywords

Mining subsidence

GIS

Software

Frequency ratio

Fuzzy membership functions

본 연구에서는 광산 지반침하 발생 위험도를 상대적 순위 관점에서 평가할 수 있는 GIS 기반의 소프트웨어를 개발하였다. 한국광해관리공단에 구축된 광산GIS 자료로부터 추출 가능한 지반침하 영향인자 15개를대상으로 통계 기반의 빈도비 모델, 반정량적 기법인 퍼지 소속 함수, 가중치를 산정하는 계층분석기법을 결합하여 적용할 수 있도록 설계하였다. 소프트웨어 구현을 위해 Visual Basic.NET과 ArcObjects 프로그래밍을 수행하였으며, ArcMap 프로그램 확장 툴바 형태로 개발하였다. 4단계 과정(인자 선택, 가중치 산정, 빈도비 또는 퍼지분석, 지도 작성 옵션)을 통해 분석된 결과는 ArcGIS 프로그램에서 가시화(2, 3차원)할 수 있도록 하였다. 개발된소프트웨어를 강원도 폐탄광 지역에 적용한 결과 갱도, 지형, 지질, 수계 조건을 함께 고려하여 분석을 수행할수 있었으며, 기 지반침하지와의 공간적 비교 분석을 통한 검증 결과 신뢰할 수 있는 평가 결과를 얻을 수 있었다.본 연구에서 개발한 소프트웨어가 폐광산 지역의 지반침하 예측 및 관리를 지원할 수 있는 도구로서 유용하게활용될 수 있을 것으로 기대한다.

키워드

광산 지반침하

지리정보시스템

소프트웨어

빈도비 모델

퍼지 소속 함수

References

Ambrozic, T. and Turk, G., 2003, “Prediction of subsidence due to underground mining by artificial neural networks,” Computers & Geosciences, Vol. 29, pp. 627-637.
Bascetin, A., 2007, “A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open-pit mine,” Environmental Geology, Vol. 52, pp. 663-672.
Bonham-Carter, G.F., 1994, Geographic Information Systems for Geoscientists, Modeling with GIS, Pergamon Press, Oxford, p. 416.
Coal Industry Promotion Board, 2005, Detailed Investigation Report of the Ground Stability Test for Jungsun-Jungam Area, Coal Industry Promotion Board (2005-10), Seoul, Korea, p. 18.
Choi, J.K., Kim, K.D., Lee, S. and Won, J.S., 2010, “Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea,” Environmental Earth Science, Vol. 59, pp. 1009-1022.
Choi, Y., Park, H.D., Sunwoo, C. and Clarke, K.C., 2009, “Multi-criteria evaluation and least-cost path analysis for optimal haulage routing of dump trucks in large scale open-pit mines,” International Journal of Geographical Information Science, Vol. 23, pp. 1541-1567.
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.
Kim, K.D., Lee, S., 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, S.M., Choi, Y., Suh, J., Oh, S., Park, H.D., Yoon, S.H. and Go, W.R., 2012, “ArcMine: A GIS extension to support mine reclamation planning,” Computers & Geosciences, Vol. 46, pp. 84-95.
Kratzsch, H., 1983, Mining Subsidence Engineering, Springer, Berlin, Germany, p. 543.
Mancini, F., Stecchi, F. and Gabbianelli, G., 2009, “GIS-based assessment of risk due to salt mining activities at Tuzla (Bosnia and Herzegovina),” Engineering Geology, Vol. 109, pp. 170-182.
Mine Reclamation Corporation (MIRECO), 2008, Technical Report of the Development of Ground Stability Evaluation Method and Software for Subsidence Occurrence in Mine Area in Korea, Mine Reclamation Corporation, Seoul, Korea, p. 331.
Mine Reclamation Corporation (MIRECO), 2012, Yearbook of MIRECO Statistics, Mine Reclamation Corporation, Seoul, Korea, p. 158.
Oh, H.J., Ahn, S.C., Choi, J.K. and LEE, S., 2011, “Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines,” Environmental Earth Sciences, Vol. 64, pp. 347-358.
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.
Oh, H.J. and Lee, S., 2011, “Integration of ground subsidence hazard maps of abandoned coal mines in Samcheok, Korea,” International Journal of Coal Geology, Vol. 86, pp. 58-72.
Park, I., Choi, J., Lee, M.J. and Lee, S., 2012, “Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping,” Computers & Geosciences, Vol. 48, pp. 228-238.
Robinson, V.B., 2003, “A Perspective on the Fundamentals of Fuzzy Sets and their Use in Geographic Information Systems,” Transactions in GIS, Vol. 7, No. 1, pp. 3-30.
Saaty, T.L., 1977, “A scaling method for priorities in hierarchical structures,” Journal of Mathematical Psychology, Vol. 15, pp. 234-281.
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.
Waltham, T., Park, H.D., Suh, J. Yu, M.H., Kwon, H.H. and Bang, K.M., 2011, “Collapses of old mines in Korea,” Engineering Geology, Vol. 118, pp. 29-36.
Yilmaz, I., 2009, “Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey),” Computers & Geosciences, Vol. 35, No. 6, pp. 1125-1138.
Yilmaz, I. and Keskin, I., 2009, “GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey,)” Bulletin of Engineering Geology and the Environment, Vol. 68, pp. 459-471.
Zadeh, L.A., 1965, “Fuzzy sets,” Information and Control, Vol. 8, pp. 338-353.

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 :4
Pages :364-379
DOI :https://doi.org/10.12972/ksmer.2015.52.4.364

[1] Ambrozic, T. and Turk, G., 2003, “Prediction of subsidence due to underground mining by artificial neural networks,” Computers & Geosciences, Vol. 29, pp. 627-637.

[2] Bascetin, A., 2007, “A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open-pit mine,” Environmental Geology, Vol. 52, pp. 663-672.

[3] Bonham-Carter, G.F., 1994, Geographic Information Systems for Geoscientists, Modeling with GIS, Pergamon Press, Oxford, p. 416.

[4] Coal Industry Promotion Board, 2005, Detailed Investigation Report of the Ground Stability Test for Jungsun-Jungam Area, Coal Industry Promotion Board (2005-10), Seoul, Korea, p. 18.

[5] Choi, J.K., Kim, K.D., Lee, S. and Won, J.S., 2010, “Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea,” Environmental Earth Science, Vol. 59, pp. 1009-1022.

[6] Choi, Y., Park, H.D., Sunwoo, C. and Clarke, K.C., 2009, “Multi-criteria evaluation and least-cost path analysis for optimal haulage routing of dump trucks in large scale open-pit mines,” International Journal of Geographical Information Science, Vol. 23, pp. 1541-1567.

[7] 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.

[8] Kim, K.D., Lee, S., 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.

[9] Kim, S.M., Choi, Y., Suh, J., Oh, S., Park, H.D., Yoon, S.H. and Go, W.R., 2012, “ArcMine: A GIS extension to support mine reclamation planning,” Computers & Geosciences, Vol. 46, pp. 84-95.

[10] Kratzsch, H., 1983, Mining Subsidence Engineering, Springer, Berlin, Germany, p. 543.

[11] Mancini, F., Stecchi, F. and Gabbianelli, G., 2009, “GIS-based assessment of risk due to salt mining activities at Tuzla (Bosnia and Herzegovina),” Engineering Geology, Vol. 109, pp. 170-182.

[12] Mine Reclamation Corporation (MIRECO), 2008, Technical Report of the Development of Ground Stability Evaluation Method and Software for Subsidence Occurrence in Mine Area in Korea, Mine Reclamation Corporation, Seoul, Korea, p. 331.

[13] Mine Reclamation Corporation (MIRECO), 2012, Yearbook of MIRECO Statistics, Mine Reclamation Corporation, Seoul, Korea, p. 158.

[14] Oh, H.J., Ahn, S.C., Choi, J.K. and LEE, S., 2011, “Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines,” Environmental Earth Sciences, Vol. 64, pp. 347-358.

[15] 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.

[16] Oh, H.J. and Lee, S., 2011, “Integration of ground subsidence hazard maps of abandoned coal mines in Samcheok, Korea,” International Journal of Coal Geology, Vol. 86, pp. 58-72.

[17] Park, I., Choi, J., Lee, M.J. and Lee, S., 2012, “Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping,” Computers & Geosciences, Vol. 48, pp. 228-238.

[18] Robinson, V.B., 2003, “A Perspective on the Fundamentals of Fuzzy Sets and their Use in Geographic Information Systems,” Transactions in GIS, Vol. 7, No. 1, pp. 3-30.

[19] Saaty, T.L., 1977, “A scaling method for priorities in hierarchical structures,” Journal of Mathematical Psychology, Vol. 15, pp. 234-281.

[20] 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.

[21] 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.

[22] Waltham, T., Park, H.D., Suh, J. Yu, M.H., Kwon, H.H. and Bang, K.M., 2011, “Collapses of old mines in Korea,” Engineering Geology, Vol. 118, pp. 29-36.

[23] Yilmaz, I., 2009, “Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey),” Computers & Geosciences, Vol. 35, No. 6, pp. 1125-1138.

[24] Yilmaz, I. and Keskin, I., 2009, “GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey,)” Bulletin of Engineering Geology and the Environment, Vol. 68, pp. 459-471.

[25] Zadeh, L.A., 1965, “Fuzzy sets,” Information and Control, Vol. 8, pp. 338-353.

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

All Issue