An Automated Method to Generate and Evaluate Geochemical Tectonic Discrimination Diagrams Based on Topological Theory
文献类型：期刊论文
| 作者 | Han, Shuai3; Li, Mingchao3; Zhang, Qi2; Song, Lingguang1 |
| 刊名 | MINERALS
 |
| 出版日期 | 2020 |
| 卷号 | 10期号:1页码:25 |
| 关键词 | discrimination diagram topology theory overlap rate gabbroic rock tectonic setting |
| DOI | 10.3390/min10010062 |
| 英文摘要 | Discrimination 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. |
| WOS关键词 | ULTRABASIC VOLCANIC-ROCKS ; COMPOSITIONAL DATA ; TECTONOMAGMATIC DISCRIMINATION ; STATISTICAL-ANALYSIS ; BASALT GEOCHEMISTRY ; CLASSIFICATION ; SERIES ; MORB ; ZR ; ENVIRONMENTS |
| 资助项目 | National 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] |
| WOS研究方向 | Mineralogy ; Mining & Mineral Processing |
| 语种 | 英语 |
| WOS记录号 | WOS:000522452300062 |
| 出版者 | MDPI |
| 资助机构 | 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 ; 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 |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/95494]  |
| 专题 | 地质与地球物理研究所_离退休科研人员 |
| 通讯作者 | Li, Mingchao |
| 作者单位 | 1.Univ Houston, Dept Construct Management, Houston, TX 77204 USA 2.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China 3.Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin 300354, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地质与地球物理研究所
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