Hazard and Risk-Based Tsunami Early Warning Algorithms for Ocean Bottom Sensor S-Net System in Tohoku, Japan, Using Sequential Multiple Linear Regression

Hazard and Risk-Based Tsunami Early Warning Algorithms for Ocean Bottom Sensor S-Net System in Tohoku, Japan, Using Sequential Multiple Linear Regression

This study presents robust algorithms for tsunami early warning using synthetic tsunami wave data at ocean bottom sensor (OBS) arrays with sequential multiple linear regression. The study focuses on the Tohoku region of Japan, where an S-net OBS system (150 pressure sensors) has been deployed. To ca...

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Bibliographic Details
Main Authors: Yao Li, Katsuichiro Goda
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Geosciences
Subjects:
tsunami early warning
ocean bottom sensors
stochastic tsunami simulation
multiple linear regression
Online Access:https://www.mdpi.com/2076-3263/12/9/350

Internet

https://www.mdpi.com/2076-3263/12/9/350

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