海洋地质与第四纪地质2024，Vol.44Issue(4)：190-199,10.DOI:10.16562/j.cnki.0256-1492.2023041101
基于机器学习的大洋玄武岩构造环境判别研究
Tectonic discrimination of oceanic basalt by machine learning
摘要
Abstract
The geochemical composition of basalt is closely related to the tectonic setting of the formation,thus basalt is an important window for viewing the deep Earth and the composition and geodynamic processes.To discriminate the tectonic setting of basalt formation,although a series of tectonic discrimination diagrams have been established based on the geochemical characteristics of basalt,those discrimination diagrams are limited to two-dimensional or three-dimensional data.With the explosive growth of global geochemical data of basalt,these discrimination diagrams show gradually the shortcomings of being local and inaccurate.Therefore,using machine learning methods is beneficial to analyze data multi-dimensionally and comprehensively,and to establish accurate and efficient discriminant models.A global modern oceanic basalt dataset was established by using GEOROC and PetDB databases through a series of steps from data downloading,training,and analyzing.The dataset was trained by the support vector machine(SVM)and random forest(RF)machine learning algorithms and a high-accuracy and high-dimensional discrimination model was built.In addition,the accuracies of different machine-learning algorithms training were analyzed against different geochemical composition datasets of modern oceanic basalt,and the discrimination models were applied to ophiolitic basalt to explore the application of machine learning models for ancient oceanic basalt.This work provided a higher-dimensional approach to discriminate oceanic basalt,and a successful attempt of using machine learning in earth science in the era of the big data.关键词
地球化学/构造环境/机器学习/大洋玄武岩Key words
geochemistry/tectonic setting/machine learning/oceanic basalt分类
海洋科学引用本文复制引用
徐堃,关馨儿,吕豪哲,赵霄,热则耶·如孜,陈艳虹..基于机器学习的大洋玄武岩构造环境判别研究[J].海洋地质与第四纪地质,2024,44(4):190-199,10.基金项目
中国地质大学(北京)创新创业训练计划项目(S202211415138) （北京）
中央高校基本科研业务费专项资金(2652021007) （2652021007）
