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New discrimination diagrams for basalts based on big data research

Authors :
Qi Zhang
Weidong Sun
Yong Zhao
Fanglin Yuan
Shoutao Jiao
Wanfeng Chen
Source :
Big Earth Data, Vol 3, Iss 1, Pp 45-55 (2019)
Publication Year :
2019
Publisher :
Taylor & Francis Group, 2019.

Abstract

In recent days, discrimination diagrams have been widely used for tracing the tectonic settings and origins of basalts from orogenic belts. However, conventional discrimination diagrams are not accurate enough. Here, we reported six new discrimination diagrams obtained from the global database using data mining methods. For most individual diagrams, island arc basalt can be nearly 100% was identified, whereas ocean island basalt and mid-ocean ridge basalt can be discriminated from each other with less than 10% of overlap, under a confidence coefficient of 85%. Using the six new discrimination diagrams together, basalts of different origins can be efficiently identified.

Details

Language :
English
ISSN :
20964471 and 25745417
Volume :
3
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Big Earth Data
Publication Type :
Academic Journal
Accession number :
edsdoj.f02a357a099b4a4caeee0c452577e28f
Document Type :
article
Full Text :
https://doi.org/10.1080/20964471.2019.1576262