灰色理论模型在尾矿库浸润线监测预测的应用  

Application of grey theory model in monitoring and prediction of tailings pond infiltration line

作　　者：李小军 梅国栋 苏军 郭利杰 LI Xiaojun;MEI Guodong;SU Jun;GUO Lijie(BGRIMM Technology Group,Beijing 102628,China;National Center for Joint Research on Green Metal Mining,Beijing 102628,China)

机构地区：[1]矿冶科技集团有限公司,北京102628 [2]国家金属矿绿色开采国际联合研究中心,北京102628

出　　处：《中国矿业》2021年第S01期130-133,共4页China Mining Magazine

基　　金：“十三五”国家重点研发计划资助(编号:2017YFC0804609);矿冶科技集团重点研发项目资助(编号:JTKJ1812)。

摘　　要：本文根据尾矿库浸润线监测数据,采用灰色理论分析方法,对尾矿库的浸润线监测进行了预测,预测结果与浸润线变化规律一致。结果表明:应用GM(1,1)模型预测偏差最小为0.011m,相对误差最小为0.169 7%,模拟预测效果比较好,满足了尾矿库浸润线监测的预测预报要求。In the paper,according to the infiltration line monitoring data of the tailings ponds,the grey theory analysis method is adopted to predict the monitoring of the infiltration line of the tailings ponds,the predicted results are consistent with the changing law of the infiltration line.The results are showed that the GM(1,1)model had the minimum prediction error of 0.011 m and the minimum relative error of 0.1697%,the simulation prediction effect is better,the prediction requirements of the tailings pond infiltration line monitoring is met.

关 键 词：尾矿库 浸润线 灰色理论 相对误差 

分 类 号：X924[环境科学与工程—安全科学]