首页> 外文期刊>Chemometrics and Intelligent Laboratory Systems >Sampling errors and their influence on accuracy of zinc and lead content evaluation in ore from the Trzebionka mine (Silesian-Cracow Zn-Pb ore district, Poland)
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Sampling errors and their influence on accuracy of zinc and lead content evaluation in ore from the Trzebionka mine (Silesian-Cracow Zn-Pb ore district, Poland)

机译:Trzebionka矿(波兰Silesian-Cracow Zn-Pb矿区)的矿石中采样误差及其对锌和铅含量评估准确性的影响

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The Trzebionka ore field is located in the SE part of the Silesian-Cracow ore district. The mine extracts zinc and lead ore from a Mississippi Valley-type deposit, hosted in Triassic dolomites. These are stratabound tabular orebodies with very complex internal structure. Main ore minerals are sphalerite (ZnS) and galena (PbS). Ore grade may be defined as low: 4.2% Zn and 1.7% Pb (on average). The accuracy of the mean metal estimation within typical reserve calculation blocks of 100×100 m horizontal dimensions is low with the relative kriging standard errors: 20-25%. The study aimed at examination to what extent the sampling and analytical errors affect the accuracy of the mean metal estimation in mine sub-blocks (area about 1 ha) and in broken ore. The results of routine and experimental sampling of orebodies in mine workings, and automatic sampling of the broken ore transported on a conveyor belt, were used in this research. Variability of metal contents in the deposit "on site" and in the broken ore was characterized geostatistically by means of relative semivariograms. Variances of sampling errors were estimated using P.Gy formula while variances of analytical errors using the experimental data. It was found that total variability of metal contents in the deposit "on site" is only marginally affected by sampling and analytical errors. In contrast, the contribution of these errors to the total variability of metal contents in the broken ore is significantly high. However, the latter has no practical impact on the accuracy of metal content estimation due to low variation of metal tenors caused by ore homogenization and large volume of samples taken from conveyor belt.
机译:Trzebionka矿场位于西里西亚-克拉科夫矿区的东南部。该矿从三叠系白云岩中的密西西比河谷型矿床中提取锌和铅矿石。这些是内部结构非常复杂的层状板状矿体。主要矿石矿物是闪锌矿(ZnS)和方铅矿(PbS)。矿石品位可以定义为低:平均4.2%锌和1.7%铅。在水平尺寸为100×100 m的典型储量计算区块中,平均金属估算的准确性较低,相对克里金标准误差为20-25%。该研究旨在检查采样和分析误差在多大程度上影响了矿区(约1公顷)和破碎矿石中平均金属估算的准确性。这项研究使用了矿山作业中矿体常规和实验性采样的结果,以及在传送带上运输的破碎矿石的自动采样结果。通过相对半变异函数对地表中和破碎矿石中金属含量的变化进行地统计学分析。使用P.Gy公式估算抽样误差的方差,而使用实验数据估算分析误差的方差。已发现,“现场”矿床中金属含量的总变化仅受采样和分析误差的轻微影响。相反,这些误差对破碎矿石中金属含量的总变异性的贡献非常高。但是,由于矿石均质化和从传送带上采集的大量样品,金属含量的变化不大,后者对金属含量估算的准确性没有实际影响。

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