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西藏多龙矿集区水系沉积物地球化学数据定量分析与解释
引用本文:刘向冲,王文磊,裴英茹. 西藏多龙矿集区水系沉积物地球化学数据定量分析与解释[J]. 地质力学学报, 2017, 23(5): 695-706
作者姓名:刘向冲  王文磊  裴英茹
作者单位:中国地质科学院地质力学研究所, 北京 100081;中国地质科学院地质力学研究所动力成岩成矿实验室, 北京 100081,中国地质科学院地质力学研究所, 北京 100081;中国地质科学院地质力学研究所动力成岩成矿实验室, 北京 100081,中国地质科学院地质力学研究所, 北京 100081;中国地质科学院地质力学研究所动力成岩成矿实验室, 北京 100081
基金项目:中国地质调查局项目(DD20179142,DD20160026);中国地质科学院基本科研业务费(DZLXJK201603);国家自然科学基金(41602088,41402295);国家自然科学国家重点项目(41430320);国土资源部公益性行业科研专项(201511017)
摘    要:位于西藏改则县的多龙矿集区是班公湖—怒江结合带最重要的斑岩型铜-金产地,具有较大的找矿潜力。本文利用MML-EM算法(Minimum Message Length-Expectation Maximization Algorithm)和ILR变换(Isometric Log-Ratio Transformation)为基础的主成分分析定量研究多龙矿集区水系沉积物化探数据的统计分布规律。混合分布筛分结果表明,Cu、Pb、Zn、Cr、Ni、Mn、Ag、Sn、W、Mo、As、Sb、Bi、Hg和Au的元素含量都服从包含两个对数正态分布的混合分布。大部分元素的高均值子分布反映了该地区多期次岩浆或热液活动。通过作ILR变换(Isometric Log-Ratio Transformation),消除了多龙地区化探数据的闭合效应,第一主成分的元素组合指示该地区的铜-金成矿潜力。多龙地区大部分铜-金矿床(点)和地表蚀变落在第一主成分得分较高的区域。根据第一主成分的得分,本文圈定了若干个成矿潜力较大的靶区。

关 键 词:多龙  化探  成分数据  主成分分析  混合分布
收稿时间:2017-02-04

QUANTITATIVE ANALYSIS AND INTERPRETATION OF THE GEOCHEMICAL DATA OF THE STREAM SEDIMENT IN DUOLONG MINERAL DISTRICT, TIBET, CHINA
LIU Xiangchong,WANG Wenlei and PEI Yingru. QUANTITATIVE ANALYSIS AND INTERPRETATION OF THE GEOCHEMICAL DATA OF THE STREAM SEDIMENT IN DUOLONG MINERAL DISTRICT, TIBET, CHINA[J]. Journal of Geomechanics, 2017, 23(5): 695-706
Authors:LIU Xiangchong  WANG Wenlei  PEI Yingru
Affiliation:Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China;The Laboratory of Dynamic Digenesis and Metallogenesis, Institute of Geomechanics, CAGS, Beijing 100081, China,Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China;The Laboratory of Dynamic Digenesis and Metallogenesis, Institute of Geomechanics, CAGS, Beijing 100081, China and Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China;The Laboratory of Dynamic Digenesis and Metallogenesis, Institute of Geomechanics, CAGS, Beijing 100081, China
Abstract:Geochemical data are typical compositional data and their closure effect exists in the rock major elements as well as in all trace elements and their arbitrary subsets. However, the closure effect is often ignored in many cases. Ten porphyry and epithermal Cu-Au deposits were recently found in Duolong mineral district, northwest Tibet, China. There are still great prospecting potential of copper resources in Duolong. The geochemical data of the stream sediment in Duolong were analyzed using Minimum Message Length-Expectation Maximization Algorithm (MML-EM) and Isometric Logratio Transformation (ILR) based on principal component analysis. It is found that all the fifteen elements data contain two log-normal populations. The high-average population of most elements reflects the multiple magmatic activities or hydrothermal processes in Duolong. The closure effect was overcome after ILR transformation and the element associations in the first principal component were interpreted to be indicators for the Cu-Au mineralization potential in Duolong. The areas with high scores of the first component are consistent with most of the found Cu-Au deposits and the alteration zones exposed at surface. Four zones with high scores are suggested for further investigation on their mineral potential.
Keywords:Duolong  geochemical prospecting  compositional data  principal component analysis  mixed distribution
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