摘要
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.
Based on basic descriptive statistics and the normal test for Au element content se- quences in drifts in Dayinggezhuang gold deposit in Shandong Province, China, the phase space of the samples was reconstructed using the method of Approximate Entropy （ApEn）. The non- linear characteristics of the sequences were depicted using the statistic marginal probability dis- tribution as an estimated value of ApEn to explore the relationship between the values and min- eralized state ranks of the element sequences. The results show that the ApEn value of metal- logenic element sequence in a state of non-mineralization and extremely weak mineralization is less than that of weak and intense mineralization. Among these, the value of a non-mineraliza- tion state is the least. The ApEn value in an intense mineralized state is the most concentra- tive, which means that there is a kind of relevancy between orebody development condition and the complex degree of metallogenic element content sequences The difference existing in the ApEn values of different mineralized ranks of metallogenic element content sequences can offer an evidence for the identification of mineralization intensity, and provide a guidance for further depiction of the deposit concentration extent and delineation of the target mineralization zone.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
2014年第2期345-350,共6页
Journal of China University of Mining & Technology
基金
国家自然科学基金项目(40872194
41172295)
关键词
近似熵
成矿元素含量
矿化
非线性
复杂度
approximate entropy
metallogenic element content
mineralization
non-linear
complex degree
