STUDY AND APPLICATION OF THE TRANSFORMATION FROM MULTI-ELEMENT ASSEMBLAGE ANOMALIES TO MINERALIZATION TYPES FOR R-FACTOR ANALYSIS
SHI Jian-min1, SHI Shao-shan1, LI Fei2, JIANG Shan1, SHI Zhe3
1. Shenyang Institute of Geology and Mineral Resources, CGS, Shenyang 110034, China; 2. Lin'an Bureau of Land and Resources, Lin'an 311300, Zhejiang Province, China; 3. No. 4 Institute of Geological Exploration of Heilongjiang Province, Harbin 150036, China
Abstract：In the stream sediment geochemical survey in the forest-swamp area of Daxinganling Mountains, the authors adopt the mean values, abundances and variation coefficients of elements to measure the concentration and variance intensity of the indicator elements for multi-element assemblage in the ore-forming geological processes. By calculating and sorting for the sum of the variance intensity of elements, the significant assemblage anomalies are selected. The factors of mineralization types are decided by R-factor analysis of multi-element assemblage anomalies of indicator elements. Basis on the distribution of assemblage anomalies, factors of mineralization types, geophysical exploration and remote sensing interpreted linear and circular structures, then, the concentration belts and areas of multi-element assemblage anomalies are delineated. Finally, the optimization and verification are carried out according to the target minerals, factors of mineralization types of main multi-element assemblage anomalies as well as related metallogenic geological theory.
时建民, 石绍山, 李飞, 江山, 时哲. 多元素组合异常向R型因子分析因子矿化类型转化的分析应用[J]. 地质与资源, 2017, 26(1): 38-50.
SHI Jian-min, SHI Shao-shan, LI Fei, JIANG Shan, SHI Zhe. STUDY AND APPLICATION OF THE TRANSFORMATION FROM MULTI-ELEMENT ASSEMBLAGE ANOMALIES TO MINERALIZATION TYPES FOR R-FACTOR ANALYSIS. GEOLOGY AND RESOURCES, 2017, 26(1): 38-50.
2017, Vol. 26 
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