Application of distance discriminant analysis method to headstream recognition of water-bursting source

摘要：

Based on the principle of Mahalanobis distance discriminant analysis (DDA), a distance discriminant analysis model of headstream recognition is established, including six indexes reflecting the mine water-bursting; No+ + K+, Cl-1, Ca2+, Mg2+, HCO3-, SO42-,Linear discriminant functions are obtained through training the initial data for headstream recognition of mine water-bursting of 35 groups in Jiaozuo mining area. After the DDA model is trained, the ration of mistake distinguish is considerably low zero. In order to verify the effectiveness and feasibility of the model, the cases of other aquifer of groundwater in Jiaozuo mining area are analyzed using the proposed method, and the obtained results are also compared with the results of quantification theory model, support vector machines model and practical conditions. The results show that the results predicted by DDA model are both in good agreement with the practical conditions and the results obtained from quantification theory model and support vector machines model. The method offers a new way in headstream recognition of mine waterbursting.

关键词： mine water-bursting headstream recognition hydrogeochemistr distance discriminant analysis

作者: WANG Jin LI Xibing CUI Tao YANG Jinlin

作者单位: School of Resources and Safety Engineering, Central South University, Changsha, Hunan 410083, China Hunan Key Lab of Resources Exploitation and Hazard Control for Deep Metal Mines, Central South University, Changsha, Hunan 410083, China

会议类型: 国际会议

会议名称: The First International Symposium on Mine Safety Science and Engineering (首届矿山安全科学与工程学术会议)

会议地点: 北京

会议语种:英文

页码: 389-396

在线出版日期: 2011-10-27（万方平台首次上网日期，不代表论文的发表时间）