Maximizing hydropower station safety against earthquake through extreme learning machine-enabled shear waves velocity prediction

Hydropower stations are important infrastructures for generating clean energy. However, they are vulnerable to natural disasters such as earthquakes, which can cause severe damage and even lead to catastrophic failures. Therefore, it is essential to develop effective strategies for maximizing hydrop...

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Bibliographic Details

Published in:	Frontiers in Environmental Science
Main Authors:	Tao Song, Di Guan, Zhen Wang, Hamzeh Ghorbani
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-06-01
Subjects:	hydropower station safety earthquake shear wave velocity machine learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2024.1414461/full