Hazard Assessment of Earthquake Disaster Chains Based on Deep Learning—A Case Study of Mao County, Sichuan Province

Hazard Assessment of Earthquake Disaster Chains Based on Deep Learning—A Case Study of Mao County, Sichuan Province

Chain disasters often cause greater casualties and economic losses than single disasters. It plays an important role in the prevention and control to draw the susceptibility map and hazard map of geological hazards. To the best of our knowledge, the existing models are not suitable for the study of...

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Bibliographic Details
Main Authors: Yulin Su, Guangzhi Rong, Yining Ma, Junwen Chi, Xingpeng Liu, Jiquan Zhang, Tiantao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Earth Science
Subjects:
hazard assessment
earthquake disaster chains
geological disasters
deep neural networks (DNN) model
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.683903/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.683903/full

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