| 魏浩.内蒙古凉城县草几坝一带土壤化探的数学地质分析[J].地质与勘探,2011,47(3):473-482 |
| 内蒙古凉城县草几坝一带土壤化探的数学地质分析 |
| Analysis of Mathematical Geology for Soil Geochemistry in the CaojibaArea of Liangcheng County, Inner Mongolia |
| 投稿时间：2010-06-14 修订日期：2010-09-06 |
| DOI： |
| 中文关键词: 聚类分析 因子分析 土壤地球化学测量 金异常 |
| 英文关键词: soil geochemistry, Au-multiple element anomalies, mathematical geology, mineralization, Inner Mongolia |
| 基金项目:内蒙古自治区地质勘查重大科技项目(内地研200415003)资助。 |
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| 中文摘要: |
| [摘要]数学地质可用不同的分析方法和图件综合显示多元地球化学数据中的核心信息,对矿床
地质特征进行合理的地质解释。凉城草几坝一带1颐2. 5 万土壤化探测量显示出本地区矿化异常是一个
以Au 为主,伴随有As、Cu、Ag 等元素的多元素组合异常。本文应用数学地质分析方法对凉城草几坝一
带的南伙房1颐2. 5 万土壤化探数据进行了分析,得出该区异常主要是由一系列北东向构造破碎带所形成
的矿化异常。南伙房和坝底地区的土壤化探数据聚类分析表明,8 种微量元素可以分为4 类,Cu、Ag、
Au、As 为一类,Pb、Zn 为一类,Bi 和Sb 各为一类。第一类是反映石英脉或蚀变岩型矿化的指示元素组
合,第二类反映了中低温的矿化元素组合。南伙房土壤化探元素主因子F1 可能代表了石英脉-蚀变岩
金矿化。对南伙房440 个样品分别计算F1 因子得分,得分大于1 的有33 个,F1 因子得分异常等值线图
与南伙房工作区Au、As、Cu 异常等值线图异常分布情况大致相吻合, 因此,Au、As 的异常区域及F1 因
子得分>1 的样品所在的区域重叠处应该是以Au 为主的找矿重点区域。 |
| 英文摘要: |
| Abstract:Soil geochemical measurements at 1:25000 scale around the Caojiba area of Liangcheng county,Inner Mongolia reveal an anomaly combina鄄
tion of multiple elements dominated by Au accompanied by As, Cu and Ag. This work used the method of mathematical geology to analyze the data of soil
geochemical survey at 1:25000 scale in Nanhuofang of this region, and made a geological interpretation to the deposit. It suggests that the anomalies from
the geochemical survey are associated with mineralization along a series of NE trending fracture zones. Cluster analysis on the soil geochemical data of the
Nanhoufang and Badi areas shows that eight kinds of trace elements can be divided into four categories, i. e. Cu, Ag, Au and As as the first, Pb the sec鄄
ond, Zn the third, and Bi and Sb the forth. The first category reflects a combination of indicator elements of quartz-vein or altered rock-type mineraliza鄄
tion, and the second category the combination of mineralization elements under low-medium temperature. The primary factor of soil geochemical element
F1 may represent a quartz-vein-altered rock-type gold mineralization. There are 33 samples of which the factor F1 scores more than 1 among all the 440
samples from the Nanhuofang area. Contours of the factor F1 score anomalies are roughly consistent with that of Au, As and Cu anomalies in the Nanhuo鄄
fang area. Thus, the overlap portion between the Au and As anomaly area and the area where factor F1 scores higher than 1 should be the focused target
for ore searching dominated by Au. |
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