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新疆黄山–镜儿泉地区与铜镍硫化物矿床有关的元素组合特征及找矿方向
引用本文:娄德波,刘欢,张长青,丛源.新疆黄山–镜儿泉地区与铜镍硫化物矿床有关的元素组合特征及找矿方向[J].大地构造与成矿学,2017,41(1):133-144.
作者姓名:娄德波  刘欢  张长青  丛源
作者单位:中国地质科学院 矿产资源研究所,国土资源部成矿作用与资源评价重点实验室,北京100037
基金项目:中央公益性科研院所基本科研业务费专项资金项目,国家自然科学基金项目,国家重点基础研究发展规划
摘    要:黄山–镜儿泉地区位于新疆东天山东部,是我国重要的铜镍成矿带之一。本次研究以该区1∶20万勘查地球化学数据中的Ni、Cu、Co、V、Ti、Cr、Mg O和Fe_2O_3等8个元素或氧化物作为研究对象,采用主成分分析(PCA)、能谱-面积分形方法(S-A)以及局部奇异性分析(LSA),对与岩浆型铜镍硫化物矿床有关的元素分布特征进行分析,以及对异常进行识别。结果表明:(1)第一主成分(PC1)的方差贡献占总体方差贡献的62.9%,各元素均有较高的正载荷,在空间上与已知铜镍硫化物矿床具有较好的对应关系,可以作为找矿的指示标志;(2)PC1空间分布的复杂性,可能是地质过程、成矿过程以及表生过程综合作用的结果;(3)基于自相似性原理,通过对PC1的复杂场分离以及弱异常增强,发现PC1异常带或PC1异常的奇异值均与NEE向的深大断裂相对应。综合成矿地质条件以及异常带分布特征,认为与康古尔–黄山深大断裂、雅满苏深大断裂以及阿奇克库都克深大断裂等相对应的一系列NEE向的PC1异常带是进一步找矿的有利地段,可优先部署工作。

关 键 词:主成分分析(PCA)  能谱-面积分形方法(S-A)  局部奇异性分析(LSA)  铜镍硫化物矿床  新疆黄山-镜儿泉地区

Element Assemblage Characteristics of Magmatic Cu-Ni Sulfide Deposits in Huangshan-Jing'erquan Area,Xinjiang and its Prospecting Significance
LOU Debo,LIU Huan,ZHANG Changqing,CONG Yuan.Element Assemblage Characteristics of Magmatic Cu-Ni Sulfide Deposits in Huangshan-Jing'erquan Area,Xinjiang and its Prospecting Significance[J].Geotectonica et Metallogenia,2017,41(1):133-144.
Authors:LOU Debo  LIU Huan  ZHANG Changqing  CONG Yuan
Abstract:The Huangshan-Jing'erquan area located in east of the Eastern Tianshan,Xinjiang,is one of the most important Cu-Ni ore belts in China.In this paper,three methods including the principal component analysis (PCA),spectrum-area fractal model (S-A) and local singularity analysis (LSA) are applied to characterize the distribution of Ni,Cu,Co,V,Ti,Cr,MgO and Fe2O3,with the aim to explore the elemental spatial distribution and identify anomalies related to magmatic Cu-Ni sulfide deposits.The results show that:(1) The first principal component (PC1) accounts for 62.9% of the total variance in the multivariate data,and all of the analyzed elements have positive loadings and contribute to PC1.Furthermore,most of the areas with high PC1 scores are coincide with the given Cu-Ni sulfide deposits,which suggest that PC1 can be used as an indicator of Cu-Ni sulfide mineralization.(2) The complexity of the spatial distribution of PC1 may arise from the geological,metallization and supergene processes.(3) The results of the separating of complicated field and highlighting of weak anomalies by self-similar method show that the anomaly belt of PC1 or PC1 singularity generally corresponds to the NEE-trending deep fault.With the consideration of the ore-forming geological conditions and spatial distribution of the anomaly belt,we propose that the NEE-trending PC1 anomaly belts corresponding to the Kangguer-Huangshan,Yamansu,and Aqikekuduke-Shaquanzi deep faults are favorable prospecting areas,and should be the first priority of geological exploration.
Keywords:principal component analysis (PCA)  spectrum-area fractal model (S-A)  local singularity analysis (LSA)  Cu-Ni sulfide deposit  Huangshan-Jing'erquan area
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