典型俯冲和碰撞环境斑岩铜矿床成矿元素分布结构的复杂性及其矿化强度指示意义

成矿元素分布的时空结构复杂性是成矿系统研究的热点问题之一，探索定量表征其时空结构复杂性的有效方法，对揭示成矿元素在成矿系统形成和演化过程中离散与聚集的机制具有较重要科学意义。本研究以云南普朗和西藏甲玛两个典型斑岩矿床为例，采用分形/多重分形和随机场等理论，剖析矿床—矿体—矿石多尺度中成矿元素空间展布和赋存状态、演化过程中成矿元素组合分带的非线性依存关系及相互作用交叉相关性；利用非线性时序分析和相空间重构方法，阐释成矿元素富集的控制因素数量和成矿元素含量序列波动的动力学行为属性及演变规律；运用熵测度，识别成矿元素迁移、富集过程的动力学结构的变化及混沌边缘性特征；运用耦合建模方法，揭示俯冲和碰撞环境下斑岩铜矿床成矿元素分布结构复杂性特征与矿化强度之间的关联性，并探寻其对矿化强度的指示意义。可为超大型斑岩铜矿及深部矿产资源的预测与评价提供新的理论和技术支撑。

The complexity of the spatial-temporal structure of metallogenic elements distribution is one of the hot topics in the metallogenic system research. Exploring the effective approach to quantitatively characterize the spatial-temporal structural complexity is of huge scientific significance to unravel the dispersion and aggregation mechanisms of metallogenic elements in the formation and evolution processes of the metallogenic system. In current study, two typical porphyry deposits (Pulang, Yunnan and Jiama, Tibet) generated in different tectonic settings (oceanic subduction and continental collision) are selected as study area. The fractal/multifractal and random field theory are employed to elucidate the spatial distribution and occurrence of the metallogenic elements in multiscale of deposit-body-mineral systems, and the nonlinear dependence of metallogenic elements distribution in the mineralization process and their cross interrelationship. The analysis of non-linear time-series and phase-space reconstruction method are applied to uncover the amount of the controlling factors for the enrichment of metallogenic elements, and dynamics behavior and evolution of the content sequence fluctuations. According to the entropy evaluation, the change of the dynamic structure of the migration and enrichment processes as well as the marginal feature of the chaos are identified. The simulation with interconnection method is utilized to reveal the complexity of metallogenic element structural distribution in the Cu deposits under tectonic settings of oceanic subduction and continental collision, and to seek its implication to the mineralization intensity. The research aims to provide novel theory and technical support to the prediction and assessment of the large scale of porphyry Cu deposits and other deep mineral resources.