Height prediction of water flowing fractured zones based on BP artificial neural network

1China University of Mining & Technology (Beijing), Beijing 10083, China.2Institute of Hydrogeology and Environmental Geology, CAGS, Shijiazhuang 050061, China.3Beijing Geological and Mineral Exploration and Development Corporation, Beijing 10050, China.

摘要

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Abstract: Factures caused by deformation and destruction of bedrocks over coal seams can easily lead to water flooding (inrush) in mines, a threat to safety production. Fractures with high hydraulic conductivity are good watercourses as well as passages for inrush in mines and tunnels. An accurate height prediction of water flowing fractured zones is a key issue in today's mine water prevention and control. The theory of leveraging BP artificial neural network in height prediction of water flowing fractured zones is analysed and app-lied in Qianjiaying Mine as an example in this paper. Per the comparison with traditional calculation results, the BP artificial neural network better reflects the geological condi-tions of the research mine areas and produces more objective, accurate and reasonable results, which can be applied to predict the height of water flowing fractured zones.
- Height of water flowing fractured zone /
- BP artificial neutral network /
- Comparative analysis

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参考文献(14)

ZHANG Jian-shi. 2018. An overview of the empirical formula for prediction of the development height of the water-conducting fracture zone in the coal. Mining Technology, 18(6): 86-88,110.

CHEN Yang, LIANG Shi-wei. 2019. Research me-thod of the height of diversion fissure zone in overlying Strata. Energy and Energy Conservation, 8: 91-92.

GAO Yan-fa. 1996. “Four-zone” model of rock mass movement and back analysis of dynamic displacement. Journal of China Coal Society, 21(1): 51-56.

XU Jia-lin, ZHU Wei-bing, WANG Xiao-zhen. 2012. New method to predict the height of fractured water-conducting zone by location of key strata. Journal of China Coal Society, 37(5): 762-769.

ZHAO Gao-bo, GUO Wen-bing, YANG Da-ming, et al. 2017. Study on overburden failure mo-dels and height of water flowing fractured zone in fully mechanized caving mining. China Safety Science Journal, 27(11):144-149.

WANG Chun-yan, FENG Shu-dan. 2008. The mo-dels of comprehensive assessment of series ponds water quality based on BP neural network. Natural Sciences Journal of Harbin University, 24(6): 77-81.

JIANG Zong-li. 2001. Introduction to artificial neural networks. Beijing: Higher Education Press.

State Bureau of Technical Supervision. 1991. Exploration specification of hydrogeology and engineering geology in mining areas: GB/T12719-91. Beijing: China Standards Press.

Gumrah F, Guler B, Evin S. 2000. The application of artificial neural networks for the prediction of water quality of polluted aquifer. Water Air and Soil Pollution, 119: 275-294.

LI Zhen-hua, XU Yan-chun, LI Long-fei, et al． 2015. Forecast of the height of water flowing fractured zone based on BP neural networks. Journal of Mining and Safety Engineering, 32(6): 905-910.

XIE Xiao-feng, LI Xi-bing, SHANG Xue-yi, et al. 2017. Prediction of height of water flowing fractured zone based on PCA-BP neural networks model. China Safety Science Journal, 27(3):100-105.

CHAI Hua-bin, ZHANG Jun-peng, YAN Chao. 2018. Prediction of water flowing height in fractured zone of overburden strata based on GA-SVR. Journal of Mining & Safety Engineering, 35(2): 359-365.

HU Xiao-juan, LI Wen-ping, CAO Ding-tao, et al. 2012. Index of multiple factors and expected height of fully mechanized water flowing fr-actured zone. Journal of China Coal Society, 37(4): 613-620.

CHEN Yuan-fei, ZHA Jian-feng, WANG Lei, et al． 2017. Prediction of development height of water flowing fractured zone under condition of large mining height. Coal Technology, 36(6): 176-178.

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