Integration of ground subsidence hazard maps of abandoned coal mines in Samcheok, Korea

International Journal of Coal Geology

Volumn 86, Issue 1, 2011, Pages 58-72

  Oh, Hyun Joo ^a   Lee, Saro ^a  

^a Korea Institute of Geosceince and Mineral Resources   (South Korea)

Author keywords

Abandoned coal mines; Artificial neural network; Frequency ratio; Ground subsidence; Logistic regression; Weights of evidence

Indexed keywords

ABANDONED COAL MINES; ARTIFICIAL NEURAL NETWORK; FREQUENCY RATIOS; GROUND SUBSIDENCE; LOGISTIC REGRESSION; WEIGHTS-OF-EVIDENCE;

ABANDONED MINES; COAL; GEOGRAPHIC INFORMATION SYSTEMS; GROUNDWATER; HAZARDS; INTEGRATION; LAND USE; NEURAL NETWORKS; REGRESSION ANALYSIS; SUBSIDENCE;

COAL MINES;

ABANDONED MINE; ARTIFICIAL NEURAL NETWORK; COAL MINE; COAL MINING; DATABASE; FREQUENCY ANALYSIS; GROUND SETTLEMENT; HAZARD ASSESSMENT; NUMERICAL MODEL; REGRESSION ANALYSIS; SUBSIDENCE;

KANGWON; SAMCHEOK; SOUTH KOREA;

EID: 79952537874     PISSN: 01665162     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.coal.2010.11.009     Document Type: Article

References (45)

1. Agterberg F.P. Application of recent developments of regression analysis in regional mineral resource evaluation. Quantitative analysis of mineral and energy resources 1988, 1-28. D. Reidel Publishing Company, Dordrecht. C.F. Chung, A.G. Fabbri, R. Sinding-Larsen (Eds.).
2. Bai S., Lü G., Wang J., Zhou P., Ding L. GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China. Environmental Earth Sciences 2011, 62(1):139-149.
3. Bonham-Carter G.F. Geographic Information Systems for Geoscientists: Modeling with GIS 1994, Pergamon, Ontario.
4. Bonham-Carter G.F., Agterberg F.P., Wright D.F. Weights of evidence modeling: a new approach to mapping mineral potential. Geological Survey of Canada, Paper 1989, 89-9:171-183. F.P. Agterberg, G.F. Bonham-Carter (Eds.).
5. Carranza E.J.M. Weights of evidence modeling of mineral potential: a case study using small number of prospects, Abra, Philippines. Natural Resources Research 2004, 13(3):173-187.
6. Carranza, E.J.M., Sadeghi, M., 2010. Predictive mapping of prospectivity and quantitative estimation of undiscovered VMS deposits in Skellefte district (Sweden). Ore Geology Reviews 38 (3), 219-241.
7. Carranza E.J.M., Woldai T., Chikambwe E.M. Application of data-driven evidential belief functions to prospectivity mapping for aquamarine-bearing pegmatites, Lundazi District, Zambia. Natural Resources Research 2005, 14(1):47-63.
8. Chang N.-B., Parvathinathan G., Breeden J.B. Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of Environmental Management 2008, 87(1):39-153.
9. Chenini I., Mammou A.B., May M.E. Groundwater recharge zone mapping using GIS-based multi-criteria analysis: a case study in Central Tunisia (Maknassy Basin). Water Resources Management 2010, 24(5):21-939.
10. Choi J., Oh H.-J., Won J.-S., Lee S. Validation of an artificial neural network model for landslide susceptibility mapping. Environmental Earth Sciences 2010, 60(3):473-483.
11. Choi J.K., Kim K.D., Lee S., Won J.S. Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea. Environmental Geology 2010, 59(5):1009-1022.
12. Coal Industry Promotion Board, CIPB A study on the mechanism of subsidence over abandoned mine area and the construction method of subsidence prevention (Korean ed). Coal Industry Promotion Board, Seoul 97(06) 1997, 1-67.
13. Coal Industry Promotion Board, CIPB Fundamental investigation report of the stability test for Gosari. Coal Industry construction method of subsidence prevention. Coal Industry Promoton Board, Seoul 99(06) 1999, 7-22.
14. Ekmekçioǧlu M., Kaya T., Kahraman C. Fuzzy multicriteria disposal method and site selection for municipal solid waste. Waste Management 2010, 30(8-9):1729-1736.
15. Frattini P., Crosta G., Carrara A. Techniques for evaluating the performance of landslide susceptibility models. Engineering Geology 2010, 111(1-4):62-72.
16. Garrett J.H. Where and why artificial neural networks are applicable in civil engineering. Journal of Computing in Civil Engineering 1994, 8(2):129-130.
17. Geological Society of Korea Gosari geological map sheet 1962, KIGAM, Daejeon.
18. Goel S.C., Page C.H. An empirical method for predicting the probability of Chimney Cave occurrence over a mining area. JournalSeek Entry for International Journal of Rock Mechanics and Mining Science & Geomechanics Abstracts 1982, 19:325-337.
19. Hines J.W. Fuzzy and neural approaches in engineering 1997, Wiley, New York.
20. Kim T.H., Kwon H.H. The present states of mine reclamation in Republic of Korea. Paper presented at the international symposium on mine reclamation, Kangwon Land, Gangwon-do, Korea 2007.
21. Kim K.D., Lee S., Oh H.J., Choi J.K., Won J.S. Assessment of ground subsidence hazard near an abandoned underground coal mine using GIS. Environmental Geology 2006, 50(8):1183-1191.
22. Kim K.D., Lee S., Oh H.J. Prediction of ground subsidence in Samcheok City, Korea using artificial neural networks and GIS. Environmental Geology 2009, 58(1):61-70.
23. Lee S., Oh H.J., Kim K.D. Statistical spatial modeling of ground subsidence hazard near an abandoned underground coal mine. Disaster Advances 2010, 3:11-23.
24. Madrucci V., Taioli F., de Araújo C.C. Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, São Paulo State, Brazil. Journal of Hydrology 2008, 357(3-4):153-173.
25. Mancini F., Stecchi F., Gabbianelli G. GIS-based assessment of risk due to salt mining activities at Tuzla (Bosnia and Herzegovina). Engineering Geology 2009, 109(3-4):170-182.
26. Manghi F., Mortazavi B., Crother C., Hamdi M.R. Estimating regional groundwater recharge using a hydrological budget method. Water Resources Management 2009, 23(12):2475-2489.
27. Murthy K.S.R. Ground water potential in a semi-arid region of Andhra Pradesh - a geographical information system approach. International Journal of Remote Sensing 2000, 21(9):1867-1884.
28. National Coal Board Subsidence engineer's handbook 1975, National Coal Board Mining Department, London.
29. Oh H.J., Lee S. Regional probabilistic and statistical mineral potential mapping of gold-silver deposits using GIS in the Gangreung Area, Korea. Resource Geology 2008, 58(2):171-187.
30. Oh H., Lee S. Cross-validation of logistic regression model for landslide susceptibility mapping at Geneoung areas, Korea. Disaster Advances 2010, 3(2):44-55.
31. Oh H.J., Lee S. Application of artificial neural network for gold-silver deposits potential mapping: a case study of Korea. Natural Resources Research 2010, 19(2):103-124.
32. Oh H.-J., Lee S., Chotikasathien W., Kim C., Kwon J. Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand. Environmental Geology 2009, 57(3):641-651.
33. Oh H.-J., Lee S., Soedradjat G. Quantitative landslide susceptibility mapping at Pemalang area, Indonesia. Environmental Earth Sciences 2010, 60(6):1317-1328.
34. Paola J.D., Schowengerdt R.A. A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery. International Journal of Remote Sensing 1995, 16(16):3033-3058.
35. Porwal A., Carranza E.J.M., Hale M. A hybrid fuzzy weights-of-evidence model for mineral potential mapping. Natural Resources Research 2006, 15(1):1-14.
36. Porwal, A., González-Álvarez, I., Markwitz, V., McCuaig, T.C., Mamuse, A., 2010. Weights-of-evidence and logistic regression modeling of magmatic nickel sulfide prospectivity in the Yilgarn Craton, Western Australia. Ore Geology Reviews 38 (3), 184-196.
37. Pradhan B., Lee S. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environmental Earth Sciences 2010, 60(5):1037-1054.
38. Salap S., KarslIoglu M.O., Demirel N. Development of a GIS-based monitoring and management system for underground coal mining safety. International Journal of Coal Geology 2009, 80(2):105-112.
39. Singh C., Shashtri S., Singh A., Mukherjee S. Quantitative modeling of groundwater in Satluj River basin of Rupnagar district of Punjab using remote sensing and geographic information system. Environmental Earth Sciences 2011, 62(4):871-881.
40. Sumathi V.R., Natesan U., Sarkar C. GIS-based approach for optimized siting of municipal solid waste landfill. Waste Management 2008, 28(11):2146-2160.
41. Thiery Y., Malet J.P., Sterlacchini S., Puissant A., Maquaire O. Landslide susceptibility assessment by bivariate methods at large scales: application to a complex mountainous environment. Geomorphology 2007, 92(1-2):38-59.
42. Waltham A.C. Ground subsidence 1989, Blackie & Son Ltd, New York.
43. Yesilnacar M.I., Cetin H. Site selection for hazardous wastes: a case study from the GAP area, Turkey. Engineering Geology 2005, 81(4):371-388.
44. Yilmaz I. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey). Computers and Geosciences 2009, 35(6):1125-1138.
45. Zahiri H., Palamara D.R., Flentje P., Brassington G.M., Baafi E. A GIS-based weights-of-evidence model for mapping cliff instabilities associated with mine subsidence. Environmental Geology 2006, 51(3):377-386.