| 黄静宁,赵鹏大,陈永清,卢映祥,童祥,武俊德,莫国培.滇东南矿集区地球化学致矿信息提取[J].矿产勘查,2018,9(11):2233-2245 |
| 滇东南矿集区地球化学致矿信息提取 |
| Combination of multivariate statistical analysis and BEMD method for geo-chemical anomalies identification in the Southeastern Yunnan metallogenic district, China |
| 投稿时间：2017-12-26 |
| DOI： |
| 中文关键词: 因子分析 BEMD 致矿异常 滇东南 |
| 英文关键词: factor analysis, Bi-dimensional empirical mode decomposition, Ore-forming anomalies, Identification, Southeastern Yunnan |
| 基金项目:北京市优秀博士学位论文指导教师科技项目(编号:20111141502),国家自然科学基金(编号:41672329)和中国地质博物馆部门预算课题(编号:121113000000170404-8)联合资助。 |
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| 中文摘要: |
| 从复杂的地球化学场中识别不同级次的地球化学特征,结合区域地质背景和地质成矿事件解释异常,发现隐含在复杂地球化学场中的致矿地质异常特征和控矿地质异常特征,能够为成矿预测提供有效线索。文章尝试将传统的因子分析与非线性二维经验模分解技术(BEMD)相结合,以滇东南1∶20万区域地球化学数据为例,应用因子分析揭示滇东南矿集区的成矿背景和致矿异常元素组合及其空间分布特征,并应用BEMD方法进行分解滇东南矿集区成矿有利的因子组合,实现深层次致矿异常信息的提取,研究表明:(1)多元统计及因子分析结果揭示了区域成矿有利特征及两种主要的成矿元素组合:以Sn-Cu和Pb-Zn-Ag等高—中—低温热液叠加矿化元素组合和以W-Be-Bi为主的一组典型中高温深成热液成矿元素组合；(2)BEMD方法的应用使得因子分析结果得到精细化逐级分解,经BEMD方法分解得到因子组合1的IMF1分量和因子组合3的IMF2分量反映了由规模相对较小(或埋藏较浅)的地质体引起的相对高频元素组合异常,因子组合1的IMF3分量和因子组合3的IMF3分量反映了由规模相对较大(或埋藏较深)的地质体引起的相对低频元素组合异常,其中因子组合1的IMF3分量的高值区在空间上与已知矿床对应程度较高,因子组合3的IMF3分量高值区为进一步找寻Sn-Cu多金属矿床的远景地段；(3)BEMD方法分解得到因子组合1和因子组合3的Res剩余分量则代表了由规模最大的深埋的地质体引起的低频元素组合异常,指明了个旧超大型Sn-Cu多金属矿床的成矿物质来源。 |
| 英文摘要: |
| By combining with the regional geological background and ore-forming events, decomposing the geochemical anomalies in different level from complex geochemical field, anomalies associated with mineralization andore-controllinganomalieswere discoveried in complex geochemical field, which is valuable for mineral resources prediction. The factor analysis and Bi-dimensional empirical mode decomposition (BEMD) method are combined in this study, and then applied for geochemical anomalies identification of Southeastern Yunnan metallogenic district. Firstly, the factor analysis results yield the element associations revealed the regional ore-forming background and the regional spatial variability of the ore-forming elements. Then, the BEMD method is applied to decomposing the element associations which are favorable for mineralization and to extracting conceal ore-forming anomalous information. The studied results show as follows:(1) The results of multi-statistical analysis and factor analysis illustrate combination of two main mineralization elmentson regional scale. One factor involves Sn-Cu and Pb-Zn-Ag which characterized the high-low-middle temperature hydrothermal mineralization effect, and the other one involves W-Be-Bi which characterized the middle-high temperature and deep hydrothermal mineralization effect. (2)The BEMD method is applied to decompose the factor analysis results into several components to obtain the geoanomalies information associated with mineralization in different level. The intrinsic mode function (IMF)1 decomposed from factor association(FA) 1 and the IMF2 decomposed from FA3 respectively revealed the high-frequency elements associated anomalies which related to small-size or shallow geological body. Meanwhile, the IMF3s decomposed from FA1 and FA3 revealed the low-frequency elements associated anomalies which may be related to big-size or deep buried geological body. These low-frequency anomalies of IMF3s from FA1 spatially coincide with the known deposits such as Songshujiao et al, and the anomaly areas shown IMF3s from FA3 may be the prospecting area of Sn-Cu deposit. (3) The residual components of FA1 and FA3 decomposed by BEMD method may revealed the low-frequency anomalies associated with the deep buried and the biggest geological body in study area, which may be the mineralization source of the Gejiu super-large Sn-Cu deposits. |
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