回归分析法在矿石质量预测中的应用

REGRESSION ANALYSIS APPLIED TO PREDICT ORE QUALITY IN THE DEEPER SHAFT

作者对苏州青山白泥矿勘探取样化验资料作了较系统的分析整理,建立了氧化铝和氧化硅的回归方程式,用于预测深部矿体的矿石质量变化。

The content of alumina is closely related to the content of silica in kaolin ore on the basis of measurement data collected for many years from drilling holes in Qingshan kaolin mine. Having deduced parameters of ore quality calculation from the relation,the regression formula with perfect availability and precision is established and examined by concerning calculations. There is a linear (?) ction relation between alumina and silica contents in kaolin ore at different depths(the greatest mining and controlling depths are -125 to -200 metres respectively),acco- rding to the regression analysis.The empirical equation derived from regression analysis and calculated ore qualty in deeper shaft gets a similar result with the exploration. Howere,as the exploitation and shaft are extended,the content of alumina decreases but silica increases evidently,resulting in reduced kaolin ore qualty in deep parts. The geological significance of regression equation here shows that it reflects not only the interrelation between alumina and silica contents,but also other factors affected the variety of ore quality.Thereby,to calculate ore quality with regression analysis,it should be done as follows: 1.to distribute drilling holes over the prospecting lines as many as possible; 2.to ensure drilling holes quality and sampling reliablity; 3.to draw relation diagram between alumina and silica contents in time to check quality of drilling holes.