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An Automated Method to Generate and Evaluate Geochemical Tectonic Discrimination Diagrams Based on Topological Theory
Han, Shuai1; Li, Mingchao1; Zhang, Qi2; Song, Lingguang3
2020
Source PublicationMINERALS
Volume10Issue:1Pages:25
AbstractDiscrimination diagrams can be used to distinguish different tectonic settings of igneous rocks. To improve the quality and efficiency of the design of discrimination diagrams, an automatic design and assessment method for discrimination diagrams is proposed based on topology theory. The method is aimed at programming the traditional process of discrimination diagram design, enabling computers to simulate the visual discrimination process. It thus automatically designs tectonic setting discrimination diagrams by investigating all possible combinations of geochemical elements. In the experiment, analyses of 3803 gabbro samples were collected from three tectonic settings, including island arc, ocean island, and mid-oceanic ridge. Using the proposed method, we found thousands of discrimination diagrams with fields overlapping less than 10%. By analyzing these diagrams, the most critical elements (or element ratio pairs) are identified. Based on the result, the feasibility of using gabbroic rocks to discriminate between tectonic settings is illustrated and four representative discrimination diagrams, including the La/Y-Nb/Ba diagram, Nb/Sc-Sc/Ba diagram, Ba/Nb-Ba/Sc diagram, and La/Na2O-Nb/Ba diagram, are recommended for use. This research supports the view that gabbroic rocks can also be used to discriminate between different tectonic settings. The method could also be applied to other rock types.
Keyworddiscrimination diagram topology theory overlap rate gabbroic rock tectonic setting
DOI10.3390/min10010062
Funding OrganizationNational Natural Science Foundation for Excellent Young Scientists of China ; National Natural Science Foundation for Excellent Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Excellent Young Scientists of China ; National Natural Science Foundation for Excellent Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Excellent Young Scientists of China ; National Natural Science Foundation for Excellent Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Excellent Young Scientists of China ; National Natural Science Foundation for Excellent Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Innovative Research Groups of China
WOS KeywordULTRABASIC VOLCANIC-ROCKS ; COMPOSITIONAL DATA ; TECTONOMAGMATIC DISCRIMINATION ; STATISTICAL-ANALYSIS ; BASALT GEOCHEMISTRY ; CLASSIFICATION ; SERIES ; MORB ; ZR ; ENVIRONMENTS
Language英语
Funding ProjectNational Natural Science Foundation for Excellent Young Scientists of China[51622904] ; Tianjin Science Foundation for Distinguished Young Scientists of China[17JCJQJC44000] ; National Natural Science Foundation for Innovative Research Groups of China[51621092]
Funding OrganizationNational Natural Science Foundation for Excellent Young Scientists of China ; National Natural Science Foundation for Excellent Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Excellent Young Scientists of China ; National Natural Science Foundation for Excellent Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Excellent Young Scientists of China ; National Natural Science Foundation for Excellent Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Excellent Young Scientists of China ; National Natural Science Foundation for Excellent Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; Tianjin Science Foundation for Distinguished Young Scientists of China ; National Natural Science Foundation for Innovative Research Groups of China ; National Natural Science Foundation for Innovative Research Groups of China
WOS Research AreaMineralogy ; Mining & Mineral Processing
WOS SubjectMineralogy ; Mining & Mineral Processing
WOS IDWOS:000522452300062
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/95494
Collection离退休科研人员
Corresponding AuthorLi, Mingchao
Affiliation1.Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin 300354, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
3.Univ Houston, Dept Construct Management, Houston, TX 77204 USA
Recommended Citation
GB/T 7714
Han, Shuai,Li, Mingchao,Zhang, Qi,et al. An Automated Method to Generate and Evaluate Geochemical Tectonic Discrimination Diagrams Based on Topological Theory[J]. MINERALS,2020,10(1):25.
APA Han, Shuai,Li, Mingchao,Zhang, Qi,&Song, Lingguang.(2020).An Automated Method to Generate and Evaluate Geochemical Tectonic Discrimination Diagrams Based on Topological Theory.MINERALS,10(1),25.
MLA Han, Shuai,et al."An Automated Method to Generate and Evaluate Geochemical Tectonic Discrimination Diagrams Based on Topological Theory".MINERALS 10.1(2020):25.
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