Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146103
Title: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
Authors: Manta, Fabio
Occhipinti, Giovanni
Feng, Lujia
Hill, Emma M.
Keywords: Engineering::Environmental engineering
Issue Date: 2020
Source: Manta, F., Occhipinti, G., Feng, L., & Hill, E. M. (2020). Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding. Scientific Reports, 10(1), 11054-. doi:10.1038/s41598-020-68097-w
Project: NRF-NRFI05-2019-0009 
Journal: Scientific Reports 
Abstract: The largest tsunamis are generated by seafloor uplift resulting from rupture of offshore subduction-zone megathrusts. The rupture of the shallowest part of a megathrust often produces unexpected outsize tsunami relative to their seismic magnitude. These are so called ‘tsunami earthquakes’, which are difficult to identify rapidly using the current tsunami warning systems, even though, they produce some of the deadliest tsunami. We here introduce a new method to evaluate the tsunami risk by measuring ionospheric total electron content (TEC). We examine two Mw 7.8 earthquakes (one is a tsunami earthquake and the other is not) generated in 2010 by the Sunda megathrust, offshore Sumatra, to demonstrate for the first time that observations of ionospheric sounding from Global Navigation Satellite System (GNSS) can be used to evaluate the tsunamigenic potential of earthquakes as early as 8 min after the mainshock.
URI: https://hdl.handle.net/10356/146103
ISSN: 2045-2322
DOI: 10.1038/s41598-020-68097-w
DOI (Related Dataset): 10.21979/N9/3KUEM5
Rights: © 2020 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EOS Journal Articles

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