地质科学2024，Vol.59Issue(2)：522-534,13.DOI:10.12017/dzkx.2024.036
基于贝叶斯方法的地壳厚度定量估算
Quantitative estimation of crustal thickness based on Bayesian method
摘要
Abstract
The continental crust has played an important role in recording the Earth's evolution over the past four billion years.The geochemical characteristics of magmatic rocks formed by the modern plate convergence boundary are highly correlated with the crust thickness during magmatic activity,so a series of geochemical indicators can be used as excellent tracers of crust thickness.However,due to the complexity of the geochemical composition of magmatic rocks,accurately quantifying crustal thickness in past geological periods has been a challenging task.Based on large geochemical databases,a Bayesian model for the quantitative estimation of crustal thickness using various geochemical indices(CaO,K2O,MnO,Dy,Ho,Lu,Y,Sr/Y,Ce/Y,La/Yb,Sm/Yb,Dy/Yb)is established in this paper.Validation results using global data since the Miocene(＜15 Ma)show that the Bayesian model provides a more accurate estimate of present-day crustal thickness than traditional single-indicator methods.This model is used to reconstruct the crustal thickness changes of the Lhasa block in the Cenozoic.The reconstruction results show that the Lhasa block experienced multiple stages of crustal thickening from 50 Ma to 30 Ma,and finally formed today's extremely thick crust.关键词
地壳厚度/大数据/贝叶斯/地球化学/定量估算Key words
Crustal thickness/Big data/Bayes/Geochemistry/Quantitative estimation分类
天文与地球科学引用本文复制引用
郑辉,葛粲,张明明,顾海欧,孙贺,汪方跃,李修钰..基于贝叶斯方法的地壳厚度定量估算[J].地质科学,2024,59(2):522-534,13.基金项目
国家自然科学基金项目(编号:42272341,42273061)和科技部第二次青藏高原综合科学考察项目(编号:2019QZKK0708)资助 （编号:42272341,42273061）
