山东理工大学学报：自然科学版2012，Vol.26Issue(5)：36-39,4.
基于GM（1．1）模型的尾矿坝变形趋势预测
Prediction of the tailings dam deformation trend based on the GM(1.1) model
赵小稚1
作者信息
- 1. 山东理工大学资源与环境工程学院,山东淄博255091
- 折叠
摘要
Abstract
Prediction of the trend of tailing dam deformation is an important part of mine tailing pond safety technical management. In order to predict the tendency of tailing dam deformation, we use grey GM(1.1) model combining with the monitoring data of an iron mine's tailing dam deformation for the prediction, based on deeply analysis of the railings dam deformation mecha- nism and fully understanding of the tailing pond engineering system and the characteristic of the dam deformation data. The grey GM(1.1) model has high accuracy and could satisfy the require- ment of the prediction, which demonstrates it would have a good applicability in prediction of the trend of tailing dam deformation.关键词
尾矿坝/变形趋势/灰色GM（1/1）预测/预测模型Key words
tailing dam/the trend of deformation/grey GM(1.1) prediction/prediction model分类
矿业与冶金引用本文复制引用
赵小稚..基于GM（1．1）模型的尾矿坝变形趋势预测[J].山东理工大学学报：自然科学版,2012,26(5):36-39,4.
