| 钦-杭结合带南段庞西垌地区Ag-Au致矿地球化学异常信息识别与提取 |
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| 引用本文： | 肖凡,陈建国,侯卫生,王正海.钦-杭结合带南段庞西垌地区Ag-Au致矿地球化学异常信息识别与提取[J].岩石学报,2017,33(3):779-790. |
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| 作者姓名： | 肖凡 陈建国 侯卫生 王正海 |
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| 作者单位： | 中山大学地球科学与工程学院, 广州 510275;广东省地质过程与矿产资源探查重点实验室, 广州 510275,中国地质大学资源学院, 武汉 43007;中国地质大学地质过程与矿产资源国家重点实验室, 武汉 430074,中山大学地球科学与工程学院, 广州 510275;广东省地质过程与矿产资源探查重点实验室, 广州 510275,中山大学地球科学与工程学院, 广州 510275;广东省地质过程与矿产资源探查重点实验室, 广州 510275 |
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| 基金项目： | 本文受中山大学青年教师起步资助计划项目（32110-18811400）、国家自然科学基金项目（41502310）、广东省自然科学基金项目（2015A030310246）和国家重点研发计划项目（2016YFC0600506）联合资助. |
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| 摘 要： | 基于分形与多重分形理论的非线性化探数据处理方法及以空间加权主成分分析模型为代表的地学多源信息融合技术,为致矿地球化学异常信息的识别和提取提供了有力的工具。本文以钦-杭结合带南段庞西垌地区1∶5万水系沉积物地球化学数据为例,研究如何综合运用多重分形局部奇异性与空间加权主成分分析这两种地学信息处理方法来识别和提取致矿地球化学异常信息。首先,采用滑动窗口的方法绘制了研究区与银金矿化关系密切的五种地球化学元素Au、Ag、Cu、Pb和Zn的局部奇异性指数图以增强局部弱缓异常信息。然后,在控矿条件分析的基础上,运用北东向断裂构造这一重要控矿要素对Ag-Au成矿作用的影响范围,即距离北东向断裂的距离,作为应变量来构建用于空间加权主成分分析的空间权重系数的计算模型,以此来突显化探样品在控矿地质条件约束下的空间相关性。进而,采用空间加权主成分分析方法来得到Au、Ag、Cu、Pb和Zn多元素奇异性指数值的组合异常(第一主成分因子得分)。结果表明:综合运用多重分形局部奇异性与空间加权主成分分析方法可以有效的识别和提取Ag-Au致矿地球化学异常信息,圈定具有示矿意义的多元素组合异常区。
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| 关 键 词： | 多重分形奇异性 空间加权主成分 Ag-Au异常提取 钦-杭成矿带 |
| 收稿时间： | 2016/6/2 0:00:00 |
| 修稿时间： | 2016/10/31 0:00:00 |
Identification and extraction of Ag-Au mineralization associated geochemical anomaly in Pangxitong district, southern part of the Qinzhou-Hangzhou Metallogenic Belt, China |
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| XIAO Fan,CHEN JianGuo,HOU WeiSheng and WANG ZhengHai.Identification and extraction of Ag-Au mineralization associated geochemical anomaly in Pangxitong district, southern part of the Qinzhou-Hangzhou Metallogenic Belt, China[J].Acta Petrologica Sinica,2017,33(3):779-790. |
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| Authors: | XIAO Fan CHEN JianGuo HOU WeiSheng and WANG ZhengHai |
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| Institution: | School of Earth Sciences and Engineering, Sun Yat-sen University, Guangzhou 510275, China;Guangdong Key Laboratory of Geological Process and Mineral Resources Exploration, Sun Yat-sen University, Guangzhou 510275, China,Resources Faculty, China University of Geosciences, Wuhan 43007;State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China,School of Earth Sciences and Engineering, Sun Yat-sen University, Guangzhou 510275, China;Guangdong Key Laboratory of Geological Process and Mineral Resources Exploration, Sun Yat-sen University, Guangzhou 510275, China and School of Earth Sciences and Engineering, Sun Yat-sen University, Guangzhou 510275, China;Guangdong Key Laboratory of Geological Process and Mineral Resources Exploration, Sun Yat-sen University, Guangzhou 510275, China |
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| Abstract: | The nonlinear geochemical data processing methods that are on the basis of fractal or/and multifractal theories, and the advanced techniques for multisource geoinformation integration such as spatially weighted principal component analysis (SWPCA) model have been developed as useful tools for identifying and extracting mineralization associated geochemical anomaly. In this paper, the 1 50000 scale of stream sediment geochemical data of Au, Ag, Cu, Pb and Zn, which are considered to be associated with Ag-Au mineralization in Pangxitong district, southern part of Qinzhou-Hangzhou Metallogenic Belt, China, has been taken as a case study to illustrate that how singularity mapping technique and SWPCA method are comprehensively applied to identify and extract mineralization associated geochemical anomaly. Firstly, in order to enhance and extract weak geochemical anomaly, the singularity values of Au, Ag, Cu, Pb and Zn were calculated by sliding window based singularity mapping approach. Furthermore, based on the analysis of geological controlling factors for Ag-Au mineralization in the study area, the mathematical model that utilizes buffing distances of northeastern faults system that has been regarded as one of the most significant ore-controlling factors for estimating spatial weight values in SWPCA has been proposed. Finally, SWPCA was used to integrate the singularity maps of Au, Ag, Cu, Pb and Zn and the compressive geochemical anomaly (i.e. the scores on the first principal component), which could be considered to be as the Ag-Au mineralization associated geochemical anomaly in the study area. The results show that singularity mapping and SWPCA can be powerful tools and successfully used for identifying and extracting Ag-Au mineralization associated geochemical anomaly in Pangxitong district, and it has delineated comprehensive geochemical anomaly targets that probably have high potential to explore new Ag-Au ore deposits. |
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| Keywords: | Multifractal singularity Spatially weighted principal component analysis Extraction of Ag-Au geochemical anomaly Qinzhou-Hangzhou Metallogenic Belt |
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