Multi-layer perceptron-based tectonic discrimination of basaltic rocks and an application on the Paleoproterozoic Xiong'er volcanic province in the North China Craton

被引:17
作者
Zhong, Richen [1 ]
Deng, Yi [1 ]
Yu, Chang [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Basaltic rock; Tectonic discrimination; Machine learning; Xiong'er volcanic province; NCC; MAFIC DYKE SWARMS; GEOCHEMICAL DISCRIMINATION; MINERAL PROSPECTIVITY; SOUTHERN MARGIN; EVOLUTION; MACHINE; CONSTRAINTS; ZHONGTIAO; ORIGIN;
D O I
10.1016/j.cageo.2021.104717
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The geochemistry of basaltic rocks is widely used to investigate the tectonic setting of magmatism. The limitation of traditional two-dimensional tectonic discrimination diagrams is mainly risen from the fact that they can only simultaneously use the information of two (x-y plots) or three (ternary diagrams) elements (or element ratios) for discrimination. This obstacle can be overcome with the assistance of machine learning method, which shows great performances in classification of multidimensional datasets. In this study, we present a neural network-based model that uses whole rock major and trace elements to discriminate basaltic rocks (SiO2 45-55 wt%) from a wide range of tectonic settings, including continental arc basalt (CAB), island arc basalt (IAB), intra-oceanic arc basalt (IOAB), mid-ocean ridge basalt (MORB), oceanic plateau basalt (OPB), oceanic island basalt (OIB), continental flood basalt (CFB) and continental rift basalt (CRB). Using a modified method of cross validation, it is estimated that the model can discriminate the tectonic setting with an average accuracy of similar to 86%, and -98% in discriminating the major tectonic regimes (arc, spreading center, or within-plate magmatism). This discrimination model was programed as a stand-alone Microsoft Excel spreadsheet that can be directly used by pasting the whole rock data into it. The discriminator was then applied to investigate the geodynamic background of the Paleoproterozoic (similar to 1.75 Ga) Xiong'er volcanism in the southern margin of the North China Craton (NCC). It has long been debated whether this magmatism took place in a continental arc or within-plate rift environment. The discrimination result shows that both the Xiong'er Group volcanic rocks and coeval intrusive rocks have CFB affinities, indicating that they were products of mantle plume activity and defines a large igneous province (LIP) in a within-plate setting. This, along with previous studies, constrains the breakup of NCC, a part of the Columbia supercontinent, not later than similar to 1.79 Ga, and supports the idea that the fragmentation of the Columbia was triggered by mantle plume impingement.
引用
收藏
页数:11
相关论文
共 51 条
[1]   Support vector machine for multi-classification of mineral prospectivity areas [J].
Abedi, Maysam ;
Norouzi, Gholam-Hossain ;
Bahroudi, Abbas .
COMPUTERS & GEOSCIENCES, 2012, 46 :272-283
[2]   Element mobility during regional metamorphism in crustal and subduction zone environments with a focus on the rare earth elements (REE) [J].
Ague, Jay J. .
AMERICAN MINERALOGIST, 2017, 102 (09) :1796-1821
[3]  
AITCHISON J, 1982, J ROY STAT SOC B, V44, P139
[4]  
[Anonymous], 1990, NEURAL NETWORK ARCHI
[5]  
Bishop C. M., 2006, Pattern recognition and machine learning
[6]   Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines) [J].
Carranza, Emmanuel John M. ;
Laborte, Alice G. .
COMPUTERS & GEOSCIENCES, 2015, 74 :60-70
[7]  
Chen Y.J., 1992, GEOL REV, V38, P325
[8]  
Chen Z., 1985, GEOLOGICAL EVOLUTION
[9]  
Cheng, 1987, GEOL SOC LOND SPECIA, V33, P436, DOI 10.1144/GSL.SP.1987.033.01.30
[10]   Mapping geology and volcanic-hosted massive sulfide alteration in the Hellyer-Mt Charter region, Tasmania, using Random Forests™ and Self-Organising Maps [J].
Cracknell, M. J. ;
Reading, A. M. ;
McNeill, A. W. .
AUSTRALIAN JOURNAL OF EARTH SCIENCES, 2014, 61 (02) :287-304