A machine learning approach to tracking crustal thickness variations in the eastern North China Craton

The variation of crustal thickness is a critical index to reveal how the continental crust evolved over its four billion years. Generally, ratios of whole-rock trace elements, such as Sr/Y, (La/Yb)n and Ce/Y, are used to characterize crustal thicknesses. However, sometimes confusing results are obta...

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Bibliographic Details
Main Authors: Shaohao Zou, Xilian Chen, Deru Xu, Matthew J. Brzozowski, Feng Lai, Yubing Bian, Zhilin Wang, Teng Deng
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Geoscience Frontiers
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987121000591

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