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以胶东大尹格庄金矿多中段多勘探线Au元素含量序列为研究对象,在对样本数据进行基本统计描述和正态性检验的基础上,运用近似熵(ApEn)方法,重构样本元素序列的相空间;用边缘概率分布的统计量作为近似熵的估计值来刻画元素序列的非线性特征,以探查Au元素序列近似熵的值与矿化状态等级的关系.结果表明:无矿化和极弱矿化状态的Au元素含量序列的近似熵值小于弱矿化和强矿化状态的熵值,其中弱矿化状态的熵值最大,无矿化状态的熵值最小;而强矿化状态的熵值最为集中,表明矿体的发育情况与成矿元素含量序列的复杂度相关联.不同矿化状态等级成矿元素含量序列的近似熵值的差异性可作为矿化识别的有效判据,为进一步定量刻画矿床富集程度与圈定有利成矿靶区提供参考.
Taking the sequence of Au element in the multi-exploration section of Yingezhuang gold deposit in Jiaodong University as the research object, based on the basic statistical description and normality test of the sample data, the approximate entropy (ApEn) method was used to reconstruct the sample elements And the statistic of the edge probability distribution is used as the estimate of approximate entropy to describe the nonlinear characteristics of the element sequence to explore the relationship between the approximate entropy value of Au element sequence and mineralization status.The results show that: And the entropy value of the Au element content series in the extremely weakly mineralized state is less than the entropy values in the weakly mineralized and strongly mineralized states, of which the entropy value in the weakly mineralized state is the largest and the entropy value in the non-mineralized state is the smallest; The entropy of the state is the most concentrated, indicating that the ore body development is related to the complexity of sequence of ore-forming elemental content.The difference of approximate entropy of sequence of ore-forming elements in different mineralization state can be used as effective for mineralization identification Criteria for further quantitative description of the degree of enrichment and delineation of metallogenic target area for reference.