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| 焦家金矿矿化元素因子分析 | |
| 引用本文： | 郭涛,邓军,吕古贤,孙之夫.焦家金矿矿化元素因子分析[J].地质找矿论丛,2008,23(2):106-112. |
| 作者姓名： | 郭涛 邓军 吕古贤 孙之夫 |
| 作者单位： | 1. 中国地质大学,北京,100083;中国地质科学院,地质力学研究所,北京,100081 2. 中国地质大学,北京,100083 3. 中国地质科学院,地质力学研究所,北京,100081 4. 山东省黄金公司,焦家金矿,山东,莱州,261400 |
| 摘 要： | 在焦家金矿区地球化学测量的基础上,通过对不同矿化区段地球化学异常结构的因子分析,探讨矿致异常的元素组合特征.认为不同矿化区段公因子都为典型的热液矿床元素组合,其中成矿地段公因子变量数较少且相关性较大,公因子具有很强的代表性,而非矿化地段公因子中则变量相对较多,因子载荷较小;Co,Ni为典型的深源代表组分,仅在矿化地段表现为独立因子,且与主因子表现为明显的负相关;金元素在矿化地段各因子上均具有一定载荷,但集中分布在两个主因子上,而且与As,Hg,Ag,Pb元素的相关性较大,因此F1因子基本代表了矿化公因子的元素组合,是成矿预测最有效的指示标志. |
| 关 键 词： | 相关性 因子分析 地球化学测量 成矿预测 焦家金矿 |
| 收稿时间： | 2007/3/23 0:00:00 |
FACTOR ANALYSIS OF ELEMENTS RELATED TO MINERALIZATION IN JIAOJIA GOLD DEPOSIT |
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| GUO Tao,DENG Jun,L&#; Gu-xian and SUN Zhi-fu.FACTOR ANALYSIS OF ELEMENTS RELATED TO MINERALIZATION IN JIAOJIA GOLD DEPOSIT[J].Contributions to Geology and Mineral Resources Research,2008,23(2):106-112. | |
| Authors: | GUO Tao DENG Jun L&#; Gu-xian and SUN Zhi-fu |
| Institution: | China University of Geosciences Beijing, Beijing 100083, China;Institute of Geomechanics, GAGS Beijing 100081, China;China University of Geosciences Beijing, Beijing 100083, China;Institute of Geomechanics, GAGS Beijing 100081, China;Jiaojia Gold Mine, Laizhou 261400 Shandong, China |
| Abstract: | Based on geochemical survey in Jiaojia gold deposit factor analysis of element for varied mineralization blocks is conducted and element association of ore-caused anomlies is discussed.The common factors for various mineralization blocks are all characterized by element association of hydrothermal ore deposit and those of the ore domains by less variables and strong correlation thus strong representative;those of non-mineralization blocks by relatively more variables and small load.Co.Ni,the typicaly deep-sourced materials are negatively correlated to the principal factors and occur as independant factor only in the mineralization blocks.Au in mineralized blocks is of certain load on each factor and concentrated at two factors.It is strongly correlated to As,Hg,Ag,pb.Therefore F1 represents element association of common factor of mineralization thus the most effectve indicator for ore prediction. |
| Keywords: | correlation factor analysis geochemical survey ore prediction Jiaojia gold mine |
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