Surface Subsidence Monitoring And Prediction Of Deep Mining In Dongxiang Copper Mine

In this paper,based on the research status of the ground settlement caused by deepmining in mines at home and abroad and research results,and combined with field monitoringdata and numerical simulation of Dongxiang copper mine the rule of surface subsidencecaused by deep mining is analyzed,late combination gray linear regression model is adoptedto predict the surface subsidence,the main research content:1、 According to the actual characteristics of Dongxiang copper mine surface andmeasuring standard establish the overall monitoring network,to monitor surface subsidence inDongxiang copper and to analysis monitoring data, the field monitoring results show that theV ore body surface and greatly influenced by underground mining village area, high iron andhigh affected area is very limited.2、 Possibility of the linear and nonlinear characteristic of the change for the surfacesubsidence monitoring data, establishing the surface subsidence equation respectively usinglinear regression theory and grey theory to predict the surface subsidence in Dongxiang,results show that the combined model error is smaller than gray GM(1,1) model,combinationmodel is more effective to predict the surface subsidence.3、Based on the geological characteristics of Dongxiang copper mine and subsequentmining process,this paper use ANSYS to establish a three-dimensional space model,andimport FLAC3D to calculate, the calculation results show that the V ore body surface areasand village are greatly influenced by underground mining, but high iron and high road area isnot affected.4、Based on the results of this study on surface subsidence prevention measures at homeand abroad,to put forward effective suggestions for prevention of Dongxiang copper minesurface subsidence.