Risk Assessment of Water Inrush in an Underground Coal Mine Based on GIS and Fuzzy Set Theory; [Risikoabschätzung für einen Wassereinbruch in eine unterirdische Kohlemine auf Basis von GIS und der Fuzzy-Mengen-Theorie]; [Relevamiento del riesgo de irrupción de agua en una mina subterránea de carbón basado en GIS y en la teoría de conjuntos difusos]

被引：0
作者：
Yang B. [1 ]
Sui W. [1 ]
Duan L. [2 ]
机构：
[1] School of Resources and Geosciences, State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, 1 University Rd, Xuzhou, 221116, Jiangsu
[2] Yongcheng Coal and Electricity Holding Group Co. Ltd, Henan Energy and Chemical Industry Group, Middle Guangming Rd, Yongcheng, 476600, Henan
来源：
Mine Water and the Environment | 2017年 / 36卷 / 4期
基金：
中国国家自然科学基金;
关键词：
Degree of membership; Fractal analysis; Fuzzy synthetic evaluation; Grouting; Information entropy;
D O I：
10.1007/s10230-017-0457-1
中图分类号：
学科分类号：
摘要：
A systematic method was developed to evaluate the risk of water inrush through a coal seam floor using the geographic information system (GIS) and the fuzzy set theory. The main geological and hydrogeological indicators that control water inrush were first considered using a fuzzy mathematics approach, in which fractal analysis was carried out to quantify the fault’s characteristics. The degree of membership was determined using GIS, the weight of every factor was considered by calculating the entropy in accordance with Shannon’s information entropy theory, and the level of risk of the evaluated object was derived using the maximum membership principle. The approach was validated by a case study at the Chensilou mine in Henan Province, China, where the aquifers that underlie an exploitable coal seam, II2, were made impermeable by grouting. Data from Nov. 2014 to April 2016 shows that the risk of water inrush was reduced in Panel 2517 of the II2 coal seam, that there were no serious disturbances in this panel and no groundwater inrush through the floor. This method can be a powerful tool for systematically assessing the risk of water inrush through the floor, since the influence of several factors can be quantitatively considered in accordance with the geological and mining conditions. © 2017, Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：617 / 627
页数：10
相关论文
共 73 条
  • [1] Berry M.V., Lewis Z.V., On the Weierstrass-Mandelbrot fractal function, P R Soc Lond A-Cont, 370, 1743, pp. 459-484, (1980)
  • [2] Chang P.T., Huang L.C., Lin H.J., The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources, Fuzzy Set Syst, 112, 3, pp. 511-520, (2000)
  • [3] Chen L., Feng X., Xie W., Xu D., Prediction of water-inrush risk areas in process of mining under the unconsolidated and confined aquifer: a case study from the Qidong coal mine in China, Environ Earth Sci, 75, 8, pp. 1-17, (2016)
  • [4] Chen L.W., Qin Y., Gui H.R., Zhang S.L., Analysis on probability of water inrush and quicksand in different mining sequences under an unconsolidated alluvium aquifer by fluid-solid coupling theory, J Coal Sci Eng, 18, 1, pp. 60-66, (2012)
  • [5] Chen J.M., Yang R.S., Analysis of mine water inrush accident based on FTA, Proc Environ Sci, 11, pp. 1550-1554, (2011)
  • [6] Christiansen A.V., Auken E., Sorensen K., The transient electromagnetic method. Groundwater geophysics, pp. 179-226, (2009)
  • [7] Coulson M.R., In the matter of class intervals for choropleth maps: with particular reference to the work of George F Jenks, Cartographica, 24, 2, pp. 16-39, (1987)
  • [8] Dombi J., Membership function as an evaluation, Fuzzy Set Syst, 35, 1, pp. 1-21, (1990)
  • [9] Dong D.L., Sun W.J., Xi S., Water-inrush assessment using a GIS-based Bayesian network for the 12–2 coal seam of the Kailuan Donghuantuo coal mine in China, Mine Water Environ, 31, 2, pp. 138-146, (2012)
  • [10] Evans I.S., The selection of class intervals, T I Brit Geogr, 2, 1, pp. 98-124, (1977)
12345678