English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Detection of Earthquake Infragravity and Tsunami Waves With Underwater Distributed Acoustic Sensing

Authors
/persons/resource/xiaohan

Xiao,  Han
2.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Spica,  Zack J.
External Organizations;

Li,  Jiaxuan
External Organizations;

Zhan,  Zhongwen
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)

5025503.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Xiao, H., Spica, Z. J., Li, J., Zhan, Z. (2024): Detection of Earthquake Infragravity and Tsunami Waves With Underwater Distributed Acoustic Sensing. - Geophysical Research Letters, 51, 2, e2023GL106767.
https://doi.org/10.1029/2023GL106767


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025503
Abstract
Underwater Distributed Acoustic Sensing (DAS) utilizes optical fiber as a continuous sensor array. It enables high-resolution data collection over long distances and holds promise to enhance tsunami early warning capabilities. This research focuses on detecting infragravity and tsunami waves associated with earthquakes and understanding their origin and dispersion characteristics through frequency-wavenumber domain transformations and beamforming techniques. We propose a velocity correction method based on adjusting the apparent channel spacing according to water depth to overcome the challenge of detecting long-wavelength and long-period tsunami signals. Experimental results demonstrate the successful retrieval of infragravity and tsunami waves using a subsea optical fiber in offshore Oregon. These findings underscore the potential of DAS technology to complement existing infragravity waves detection systems, enhance preparedness, and improve response efforts in coastal communities. Further research and development in this field are crucial to fully utilize the capabilities of DAS for enhanced tsunami monitoring and warning systems.