YAN Yan1, CHEN Jun-lin1, PENG Run-min1*, CHEN Si-yu2
（1.School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China;
2.School of Earth Sciences and Space, Peking University, Beijing 100871, China）
Abstract: On the one hand, the metamorphism of previously existed rocks leads to the formation of various types of metamorphic rocks, certain kinds of accompanied mineralization, and the transformation of previously existed orebodies. The relationship between metamorphism and mineralization is mainly reflected in the transformation of the original orebodies of deposits or the mineralization resulted from migration and enrichment of ore-forming elements due to the changes of temperature, pressure, metamorphic hydrothermal fluid, and other factors. Based on the open database of Internet, the internet model of relationship between metamorphism and minerals of sediment-hosted lead-zinc deposits has been established and its characteristics have been analyzed, in order to provide new ideas for solving problems of researches on the transformation of orebodies of lead-zinc deposits caused by metamorphism and the metallogenic effects of metamorphism. In this paper, we have linked the relationship between metamorphism and ore minerals of 507 sediment-hosted lead-zinc deposits in the world, and then have established a complex network model with 305 effective nodes (48 kinds of minerals and 6 kinds of metamorphic facies) and 17416 relationship lines. On the one hand, the complex network model for the relationship of metamorphism degrees and various kinds of minerals, built by using the data information, has described the respective relationships of three metamorphic facies including greenschist facies, greenschist-amphibolite facies, and amphibolite facies to main minerals of all ore deposits. and discovered the association structure in the network. The results show that the greenschist facies and low-degree amphibolite facies controlled most of the metal deposits, while the granulite facies controlled most of the non-metallic deposits. On the other hand, the text information statistics are used to analyze key nodes based on the model, and the analysis of statistical data under the same conditions has resulted in more objective evaluation results of the key nodes. The undertaken simulation experimental results show that the model can better reflect objective facts, and a large amount of statistical data can effectively express key nodes of the model, proving rationality and effectiveness of the method. It is of enlightening significance for the quantitative study of petrological and mineralogical knowledges to provide decision-making opinions for the ore prospecting prediction.
Keywords: Complex network; metamorphism; zinc-lead deposits; visualization; big data
ACTA MINERALOGICA SINICA Vol. 41, No.3, 2021, page 327-342
