BDA Models and Application for Recognizing the Headstreams of Mine Waterburst


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BAYES discriminant analysis (BDA) method was used in the study of headstreams of prediction of minewater inrush and two BDA models for recognizing two-headstreams and multi-headstreams were constructed. Baesd on the principle of BDA theory and the classical headstream samples of different mines, the discriminant process and cross-validation method were introduced. 10 samples from a mine of HUA BEI Mine and 39 samples of JIAO ZUO Mine were used as data sources. Ca2+, Mg2+, Na+, K+, Cl-, HCO3-, SO42-, NO32-, F- and pH were selected as discriminant genes for two-headstreams BDA model and Na++K+, Ca2+, Mg2+, Cl-, SO42-, HCO3- were regarded as discriminant genes for multi-headstreams BDA model. Compared with the results of SQT method, ANN method and SVM method, the results show that the frame of BDA model was steady and high prediction accuracy can be obtained. BDA method and can be used in practical mine engineering.



Edited by:

Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding




W. Wan and L. Jie, "BDA Models and Application for Recognizing the Headstreams of Mine Waterburst", Applied Mechanics and Materials, Vols. 34-35, pp. 1788-1793, 2010

Online since:

October 2010





[1] ZHANG Xu-liang,ZHANG Zi-xu,PENGSu-ping. Application of the Second Theory of Quantification in Identifying Gushing Water Sources of Coal Mines[J]. Journal of China University of Mining & Technology,2003,32(3):251-254.

[2] FENG LI-jun,LI Jing-sheng,SHAO Gai-qun. The application of Adaline in recognition of mine water quality types[J]. Coal Geology & Exploration,2002,30(4): 35-37.

[3] WANG Yu-min, JIAO Li-min. Identifying water source of water-rush by using water quality analysis method [J]. Coal Mine Safety,2001,32(10): 12-14.

[4] FENG Li-jun,GUO Xiao-shan. The application of artificial neural network theory to mine water inrush prediction[J]. Journal of Xi'an University of Science and Technology,2003, 23(4): 369-371.

[5] BEN Xu-dong, GUO Hai-ying, XIE Yi-wei, et al. Study and application of fuzzy comprehensive evaluation in identifying water source of water-rush [J]. Mining safety and environmental protection,2006,33(3): 57-59.

[6] Yu Ke-lin,Yang Yong-sheng,Zhang Chen-ping. Application of fuzzy comprehensive evaluation method in identifying water source of water-rush in underground shaft[J]. Metal Mine,2007,(3): 47-50.

[7] YAN Zhi-gang,DU Pei-jun,GUO Da-zhi. SVM models for analyzing the headstreams of mine water inrush[J]. Journal of China Coal Society,2007,32(8):842-847.

[8] YAN Zhi-gang,BAI Hai-bo,ZHANG Hai-rong,et al. A Novel SVM Model for the Analysis and Prediction of Water Inrush from CoalMine[J]. China Safety Science Journal,2008,18(7): 166-170.

[9] YAN Zhi-gang , BAI Hai-bo. MMH support vector machines model for recognizing multi-headstream of water inrush inmine[J]. Chinese Journal of Rock Mechanics and Engineering,2009,28(2):324-329.

[10] ZHANG Wei, LI Xi-bing,GONG Feng-qiang. Influence on surrounding rock deformation of multi-arch tunnel by underground water seepage flow. Journal of Central South University of Technology,2008,15(1):69-74.


[11] GONG Feng-qiang,LI Xi-bing,ZHANG Wei. Overbreak forecast of underground opening by using Bayes discriminant analysis method. Journal of Central South University of Technology, 2008,15(4):498-502.


[12] LIU Jin-hai, FENGTao, WANG Wei-jun, et al. Distance discriminant analysis method for distinguishing the difficulty degree of top-coal caving in steep seam and its application[J]. Journal of China Coal Society,2008,33(6):601-605.

[13] GONG Feng-qiang,LI Xi-bing. A distance discriminant analysis method of forecast for shaft-lining non-mining fracture of mine [J]. Journal of China Coal Society, 2007,32(7): 700-704.