矿源层地球化学元素在黄土盖层中纵向分布的趋势提取与应用

徐德义; 裴宏伟; 刘宁强; 袁兆宪; 杨玠; 谢淑云; 成秋明

doi:10.3799/dqkx.2012.120

矿源层地球化学元素在黄土盖层中纵向分布的趋势提取与应用

doi: 10.3799/dqkx.2012.120

徐德义^{1, 2,},
裴宏伟^{1, 6},
刘宁强^{2, 3},
袁兆宪⁴,
杨玠⁴,
谢淑云⁵,
成秋明^{2, 4, ,}

1.
中国地质大学经济管理学院, 湖北武汉 430074
2.
中国地质大学地质过程与矿产资源国家重点实验室, 湖北武汉 430074
3.
中国地质大学地球科学与资源学院, 北京 100083
4.
中国地质大学资源学院, 湖北武汉 430074
5.
中国地质大学地球科学学院, 湖北武汉 430074
6.
厦门大学经济学院, 福建厦门 361005

基金项目:

国家自然科学基金 40972205

国家自然科学基金 41272362

中国地调局项目 1212010633910

中国地调局项目 1212011121101

“863”项目 2009AA06Z110

详细信息

作者简介:
徐德义(1964-)，博士，教授，研究方向为数学地质、应用统计.E-mail：xdy@cug.edu.cn

通讯作者:
成秋明，E-mail：qiuming@cug.edu.cn

中图分类号: P595
计量
- 文章访问数: 249
- HTML全文浏览量: 53
- PDF下载量: 6
- 被引次数: 0
出版历程
- 收稿日期: 2012-07-19
- 网络出版日期: 2021-11-09
- 刊出日期: 2012-06-15

Extraction and Applications of the Long-Term Vertical Distribution Trends of Geochemical Elements in the Loess Cover

XU De-yi^{1, 2
,},
PEI Hong-wei^{1, 6},
LIU Ning-qiang^{2, 3},
YUAN Zhao-xian⁴,
YANG Jie⁴,
XIE Shu-yun⁵,
CHENG Qiu-ming^{2, 4
, ,}

1.
School of Economics and Management, China University of Geosciences, Wuhan 430074, China
2.
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China
3.
Faculty of Earth Science and Resources, China University of Geosciences, Beijing 100083, China
4.
Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China
5.
Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, China
6.
Faculty of Economics, Xiamen University, Xiamen 361005, China

摘要

摘要: 在内蒙草原覆盖区迪彦钦阿木Mo-Ag矿床长度为106.5 m黄土覆盖层垂直岩心上等间距顺序取样106个，用Niton XL3t X-荧光仪测得每个样本的33个元素的含量.在正态性检验的基础上，用Kendallτ相关系数分析了元素含量与深度的相关性，得出黄土覆盖层中Mo、S、W、Te、Fe、Cu、Ni、Mn、Sb、Rb、Cs、Sn、Zn、Ti、V、Pb、Th、As这18种元素含量与离开矿源的距离具有显著相关性；用HP滤波法分离出这18种元素含量空间序列的长期趋势，并用变量聚类分析法对长期趋势进行了分类；用因子分析法得到了迪彦钦阿木矿床Mo-W成矿因子和Pb-Zn成矿因子，并模拟得到Mo-W成矿因子的指数分布模式.本文的研究思路与结论可为覆盖区表层地球化学异常对矿产预测的指示作用研究提供借鉴.
- 覆盖区 /
- 空间序列 /
- Kendallτ相关系数 /
- HP滤波 /
- 聚类分析 /
- 地球化学 /
- 成矿预测 /
- 矿床
Abstract: 106 samples were sequentially collected from a 106.5 m vertical core of the loess cover on the Diyanqinamu Mo-Ag deposit in the grassland area in the Inner Mongolia. The contents of 33 elements were measured by Niton XL3t X-ray fluorescence analyzer. After the normality test, the correlation between the contents of elements and the depth were analyzed by Kendall τ correlation coefficient method, which shows that the contents of 18 elements Mo, S, W, Te, Fe, Cu, Ni, Mn, Sb, Rb, Cs, Sn, Zn, Ti, V, Pb, Th and As from the loess cover are statistically correlated with the distances from the ore source. The long-term trends of the 18 elements were detached from the content spatial series, which were classified into several clusters. Ore-forming factors Mo-W factor and Pb-Zn factor were obtained by factor analysis, and the exponent transportation modes of the Mo-W factor were simulated. The research approach and results of this paper could be useful references for evaluating mineral resources of covered areas from the surface geochemical anomalies.
- covered area /
- spatial series /
- Kendall τ correlation coefficient /
- HP filtering /
- cluster analysis /
- geochemistry /
- ore prospceting /
- ore deposits

HTML全文

图 1 18个元素纵向分布散点图(a)和HP滤波得到的元素含量纵向长期趋势图(b)

横坐标为元素含量，规范化到[0，1]区间；纵坐标自下而上是离开矿源层的距离

Fig. 1. Scatter plot of the contents of 18 elements against vertical depth (a) and the long-term trend plot of the contents of the 18 elements from HP filtering (b)

下载: 全尺寸图片幻灯片

图 2 元素分布趋势分类谱系

Fig. 2. Hierarchical plot of the long-term distribution trend of the elements

下载: 全尺寸图片幻灯片

图 3 成矿因子载荷柱状图

Fig. 3. Loadings of ore-forming factors

下载: 全尺寸图片幻灯片

图 4 因子得分及拟合曲线

虚线为因子得分，实线为拟合曲线；横坐标为深度，纵坐标为因子的含量；a.深度范围为[0, 106]的因子一得分及拟合曲线；b.分[0, 68.5]和[68.5, 106]两段拟合的因子一得分及拟合曲线；c.因子二得分及拟合曲线

Fig. 4. Scoring and fitted curves

下载: 全尺寸图片幻灯片

表 1 描述性统计分析、正态性检验和相关性分析

Table 1. Descriptive analysis, normality test and correlation analysis

描述统计			正态性检验		相关性检验
元素	均值	标准差	SW统计量	显著性p值	Kendallτ	显著性p值	相关性
Mo	16.62	47.03	0.406	＜0.001	0.586	＜0.000 1	相关
S	674.98	1 275.00	0.500	＜0.001	0.170	0.009 9	相关
K	20 865.00	4 887.00	0.864	＜0.001	0.033	0.617 0	不相关
Fe	24 756.00	12 997.00	0.261	＜0.001	0.411	＜0.000 1	相关
Zn	177.04	305.45	0.468	＜0.001	0.423	＜0.000 1	相关
Pb	36.95	42.62	0.744	＜0.001	0.298	＜0.000 1	相关
Au	0.27	0.95	0.299	＜0.001	0.142	0.071 2	不相关
Ca	17 326.00	11 254.00	0.926	＜0.001	-0.034	0.605 9	不相关
Ti	3 269.00	1 079.00	0.948	0.004	0.212	0.001 3	相关
Mn	1 459.00	3 495.00	0.245	＜0.001	0.514	＜0.000 1	相关
W	14.28	30.19	0.550	＜0.001	-0.134	0.397 0	不相关
Cu	37.59	22.64	0.929	＜0.001	0.492	＜0.0001	相关
Sc	16.89	27.86	0.659	＜0.001	0.084	0.247 6	不相关
V	55.63	36.41	0.953	＜0.001	0.198	0.002 7	相关
Zr	283.89	71.06	0.980	0.106	0.116	0.075 5	不相关
Sr	182.82	97.41	0.837	＜0.001	-0.021	0.575 7	不相关
U	1.03	2.47	0.467	＜0.001	-0.030	0.757 6	不相关
Rb	115.03	63.87	0.738	＜0.001	0.400	＜0.000 1	相关
Th	13.28	6.77	0.714	＜0.001	0.207	0.001 6	相关
As	10.38	7.99	0.913	＜0.001	0.107	0.103 0	不相关
Hg	0.20	0.78	0.273	＜0.001	0.052	0.542 0	不相关
Ni	80.38	24.29	0.868	＜0.001	0.345	＜0.000 1	相关
Co	34.20	68.69	0.555	＜0.001	-0.047	0.577 0	不相关
Cr	0.76	4.92	0.145	＜0.001	-0.325	0.244 0	不相关
Ba	577.96	158.02	0.882	＜0.001	0.098	0.136 0	不相关
Cs	66.56	30.12	0.859	＜0.001	0.209	0.001 4	相关
Te	37.75	39.18	0.851	＜0.001	0.135	0.045 5	相关
Sb	14.53	20.40	0.740	＜0.001	0.163	0.021 0	相关
Sn	15.12	20.15	0.765	＜0.001	0.343	＜0.000 1	相关
Cd	0.68	2.89	0.250	＜0.001	0.094	0.232 2	不相关
Pd	0.18	1.12	0.158	＜0.001	0.027	0.732 0	不相关

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表 2 成矿因子

Table 2. Ore-forming factors

	Mo	Cs	S	Te	Sn	W	Rb	Cu	Fe	Ni	Mn	Sb	Th	Zn	As	V	Ti	Pb	Ω
F1	0.974	0.970	0.956	0.955	0.942	0.894	0.882	0.857	0.811	0.732	0.725	0.651	-0.268	0.228	-0.210	0.542	0.656	0.014	0.661
F2	-0.206	0.131	-0.293	-0.057	0.082	-0.024	0.191	0.442	0.585	0.665	0.404	0.485	0.891	0.808	0.784	0.759	0.695	0.614	0.997
注：Ω是因子的累计方差贡献率，第1个因子F1方差贡献率为66.1%；前2个因子的累计方差贡献率为99.7%.

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