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

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

刘向冲^{1, 2,},
王文磊^{1, 2, ,},
裴英茹^{1, 2}

1.
中国地质科学院地质力学研究所, 北京 100081
2.
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

中国地质调查局项目 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

国家自然科学基金 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

详细信息

作者简介:
刘向冲(1987-), 男, 助理研究员, 从事成矿动力学和数学地质等研究。E-mail:xcliu@cags.ac.cn

通讯作者:
王文磊(1983-), 男, 副研究员, 从事数学地质研究。E-mail:wenleiw@163.com

中图分类号: P632
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- 文章访问数: 331
- HTML全文浏览量: 142
- PDF下载量: 21
- 被引次数: 0
出版历程
- 收稿日期: 2017-02-04
- 刊出日期: 2017-10-01

QUANTITATIVE ANALYSIS AND INTERPRETATION OF THE GEOCHEMICAL DATA OF THE STREAM SEDIMENT IN DUOLONG MINERAL DISTRICT, TIBET, CHINA

LIU Xiangchong^{1, 2
,},
WANG Wenlei^{1, 2
, ,},
PEI Yingru^{1, 2}

1.
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China
2.
The Laboratory of Dynamic Digenesis and Metallogenesis, Institute of Geomechanics, CAGS, Beijing 100081, China

摘要

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。
- 多龙 /
- 化探 /
- 成分数据 /
- 主成分分析 /
- 混合分布
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.
- Duolong /
- geochemical prospecting /
- compositional data /
- principal component analysis /
- mixed distribution

HTML全文

图 1 西藏多龙矿集区区域地质图(据文献[41]修改)

Q－第四系；E₃k－上渐新统康托组；K₁m－下白垩统美日切错组；J_1-2s－中下侏罗统色哇组；J₁q－下侏罗统曲色组；T₃r－上三叠统日干配错组；K₁ηγπ－早白垩世二长花岗斑岩；K₁γπ－早白垩世花岗斑岩, K₁λoπ－早白垩世石英斑岩；K₁γδπ－早白垩世花岗闪长斑岩；v－辉长岩；ba－枕状玄武岩；Σ－蛇纹石化橄榄岩

Figure 1. Simplified geological map of Duolong mineral district, Tibet, China

下载: 全尺寸图片幻灯片

图 2 多龙地区水系沉积物Cu和Au元素含量空间分布

两个元素含量的空间分布图是利用ArcGIS反距离加权方法差值得到的；图中黑色五角星为多龙地区已发现的铜⁃金矿床（点）

Figure 2. Spatial distribution of the concentrations of Cu and Au in stream sediment in Duolong District

下载: 全尺寸图片幻灯片

图 3 多龙地区水系沉积物Cr和Ni元素含量空间分布

两个元素含量的空间分布图是利用ArcGIS反距离加权方法差值得到的；图中黑色五角星为多龙地区已发现的铜⁃金矿床（点）

Figure 3. Spatial distribution of the concentrations of Cr and Ni in stream sediment in Duolong District

下载: 全尺寸图片幻灯片

图 4 多龙地区水系沉积物15个微量元素含量混合分布筛分结果

Figure 4. Separation results of the mixed distribution of the 15 elements' concentration data in stream sediment in Duolong District

下载: 全尺寸图片幻灯片

图 5 多龙地区原始化探数据经对数变换后的主成分分析双标图

代表元素的线段由该元素在两个主成分的系数确定；红色圆点为对应主成分的得分；代表Sn和As元素的线段重合，图中截线的位置为Sn线段的终点

Figure 5. Biplot of principle component analysis of the logarithm-transformed geochemical data in Duolong District

下载: 全尺寸图片幻灯片

图 6 多龙地区化探数据经ILR变换后主成分分析在CLR空间的双标图

Figure 6. Biplot of principle component analysis of the ILR-transformed geochemical data in Duolong District

下载: 全尺寸图片幻灯片

图 7 多龙地区化探数据对数变换后(a)和经ILR变换后(b)的第一主成分得分图

(地表蚀变范围据[41]修改)

Figure 7. Score maps of the first component in the logarithm-transformed (A) and ILR-based (B) principle component analysis in Duolong District

下载: 全尺寸图片幻灯片

表 1 经对数变换和ILR变换的第一主成分载荷

Table 1. Loadings of the first component of the logarithm-transformed and ILR-based principle component analysis

元素	对数变换后的第一主成分	ILR变换后的第一主成分
Cu	0.31	0.28
Pb	0.33	0.36
Zn	0.33	0.23
Cr	-0.01	-0.52
Ni	0.01	-0.47
Mn	0.24	-0.11
Ag	0.33	0.28
Sn	0.26	-0.16
W	0.21	-0.13
Mo	0.23	0.04
As	0.31	0.12
Sb	0.27	0.01
Bi	0.31	0.16
Hg	0.06	-0.24
Au	0.28	0.16

下载: 导出CSV

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