灰色理论模型在尾矿库浸润线监测预测的应用

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0.1697%,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。

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

In the paper,according to the infiltration line monitoring data of the tailings ponds,the grey theory analysis method was adopted to predict the monitoring of the infiltration line of the tailings ponds,the predicted results were consistent with the changing law of the infiltration line.the results were showed that the GM(1,1) model had the minimum prediction error of 0.011m and the minimum relative error of 0.1697%,the simulation prediction effect was better,the prediction requirements of the tailings pond infiltration line monitoring was met.