Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding

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...

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Main Authors: Manta, Fabio, Occhipinti, Giovanni, Feng, Lujia, Hill, Emma M.
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146103
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1461032022-02-22T09:08:19Z Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding Manta, Fabio Occhipinti, Giovanni Feng, Lujia Hill, Emma M. Asian School of the Environment Earth Observatory of Singapore Engineering::Environmental engineering Natural Hazards Seismology 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. Ministry of Education (MOE) National Research Foundation (NRF) Published version Some of the results presented here are reported in the PhD thesis of Dr. Fabio Manta (https://hdl.handle.net/10356/107577), archived by Nanyang Technological University, Singapore. We are grateful to the many scientists and field technicians who have kept the SuGAr network in operation. These include Paramesh Banerjee, Iwan Hermawan, Danny Natawidjaja, Jeffrey Encillo, Imam Suprihanto, Dudi Prayudi, and Bambang Suwargadi. SuGAr GPS data are available for download from ftp://ftp.earthobservatory.sg/SugarData. This research was supported by the National Research Foundation Singapore under its Singapore NRF Investigatorship scheme (Award No. NRF-NRFI05-2019-0009) and by the EOS and the National Research Foundation Singapore and the Singapore Ministry of Education under the Research Centres of Excellence initiative. G.O. is supported by Programme National de Télédétection Spatiale (PNTS), grant n PNTS-2014-07; by the CNES, grant GISnet&Back; and by the Institut Universitaire de France (IUF). We thank Benoit Taisne for useful discussions, and the reviewers for constructive comments. This is EOS contribution 300 and IPGP contribution 4054. 2021-01-26T08:32:43Z 2021-01-26T08:32:43Z 2020 Journal Article 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 2045-2322 0000-0001-9323-3185 0000-0002-3736-5025 0000-0003-0231-5818 https://hdl.handle.net/10356/146103 10.1038/s41598-020-68097-w 32632250 2-s2.0-85087482564 1 10 en NRF-NRFI05-2019-0009 Scientific Reports 10.21979/N9/3KUEM5 © 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/. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Environmental engineering
Natural Hazards
Seismology
spellingShingle Engineering::Environmental engineering
Natural Hazards
Seismology
Manta, Fabio
Occhipinti, Giovanni
Feng, Lujia
Hill, Emma M.
Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
description 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.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Manta, Fabio
Occhipinti, Giovanni
Feng, Lujia
Hill, Emma M.
format Article
author Manta, Fabio
Occhipinti, Giovanni
Feng, Lujia
Hill, Emma M.
author_sort Manta, Fabio
title Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
title_short Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
title_full Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
title_fullStr Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
title_full_unstemmed Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding
title_sort rapid identification of tsunamigenic earthquakes using gnss ionospheric sounding
publishDate 2021
url https://hdl.handle.net/10356/146103
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