Regional prediction of coal and gas outburst hazard based on multi-factor pattern recognition

被引:14
|
作者
Song Wei-hua [1 ]
Zhang Hong-wei [1 ]
机构
[1] Liaoning Tech Univ, Coll Resource & Environm Engn, Fuxin 123000, Peoples R China
关键词
coal and gas outburst; regional prediction; multi-factor; pattern recognition;
D O I
10.1016/j.proeps.2009.09.055
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Based on the systematical analysis on the influencing factors of coal and gas outburst, with the research region divided into finite predicting units, the internal relation between the factors and the hazard of coal and gas outburst, which is combination model of influence factors, has been ascertained through multi-factor pattern recognition method. On the basis of contrastive analysis the pattern of coal and gas outburst between prediction region and mined region, the hazard of every predication unit has been determined. The mining area is then divided into coal and gas outburst dangerous area, threatened area and safe area respectively according to the hazard of every predication unit. Accordingly the prediction accuracy of coal and gas outburst has been improved through the application in the No. 6 mine of Hebi coal industry corporation.
引用
收藏
页码:347 / 353
页数:7
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