Identification of Mineral Intensity along Drifts in the Dayingezhuang Deposit, Jiaodong Gold Province, China
Identification of Mineral Intensity along Drifts in the Dayingezhuang Deposit, Jiaodong Gold Province, China
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DOI：
10.1111/j.1751-3928.2010.00117.x
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发表时间：
2010-03
期刊：
影响因子：
1.4
通讯作者：
L. Wan;Qingfei Wang;Jun Deng;Q. Gong;Li‐Qiang Yang;Huan Liu
中科院分区：
文献类型：
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作者：
L. Wan;Qingfei Wang;Jun Deng;Q. Gong;Li‐Qiang Yang;Huan Liu
在平巷或钻孔中的高矿物强度的特点是高品位的高比例和空间集群。矿石强度大，表明矿石质量高，开采贫化低。利用分形维数、波动指数和空隙度等方法对胶东大尹格庄金存款矿床的矿物强度进行了沿着向分析。实践证明，这些参数的组合可以识别矿物的强度。分形维数与波动指数呈负相关。分维小、涨落指数大的地方矿化作用较明显。而在分维值相近的情况下，波动指数越小，则表明高品位矿物的聚集结构越多，矿物强度越大。在分形维数与孔隙度关系图中，还可以识别出矿物强度较大的巷道。本文所采用的方法对当地的矿物强度进行了较为全面的描述，为成矿过程和开采提供了信息。
Great mineral intensity in drifts or drills is characterized by both the high proportion and spatial cluster of the high grades. Great mineral intensity indicates the high ore quality and low dilution in the exploitation. The fractal dimension, the fluctuation exponent proposed in this paper and the lacunarity are utilized to analyze the mineral intensity along drifts in the Dayingezhuang gold deposit in Jiaodong gold province, China. It is proven that the combination of the parameters can identify the mineral intensity. The fractal dimension and fluctuation exponent are negatively correlated. In the places where the fractal dimension is small and fluctuation exponent is great, the mineralization is more pronounced. While in the case that the fractal dimensions are similar, smaller fluctuation exponent means more clustered structure of high grades and greater mineral intensity. In the diagram of fractal dimension versus lacunarity, the drifts with great mineral intensity can also be identified. The methods used in this paper provide a relatively comprehensive description for local mineral intensity, providing information for both the ore‐forming process and the exploitation.