The 2022 Mw 7.3 Southern Sumatra Tsunami Earthquake: Rupture Up‐Dip of the 2007 Mw 8.4 Bengkulu Event
Abstract
On 18 November 2022, a large earthquake struck offshore southern Sumatra, generating a tsunami with 25 cm peak amplitude recorded at tide gauge station SBLT. Our W-phase solution indicates a shallow dip of 6.2°, compatible with long-period surface wave radiation patterns. Inversion of teleseismic body waves indicates a shallow slip distribution extending from about 10 km deep to near the trench with maximum slip of ∼4.1 m and seismic moment of 1.05×1020 Nm (MW 7.3). Joint modeling of seismic and tsunami data indicates a shallow rigidity of ∼23 GPa. We find a low moment-scaled radiated energy of 4.15×10−6, similar to that of the 2010 MW 7.8 Mentawai event (3.1×10−6) and other tsunami earthquakes. These characteristics indicate that the 2022 event should be designated as a smaller moment magnitude tsunami earthquake compared to the other 12 well-documented global occurrences since 1896. The 2022 event ruptured up-dip of the 2007 MW 8.4 Bengkulu earthquake, demonstrating shallow seismogenic capability of a megathrust that had experienced both a deeper seismic event and adjacent shallow aseismic afterslip. We consider seismogenic behavior of shallow megathrusts and concern for future tsunami earthquakes in subduction zones globally, noting a correlation between tsunami earthquake occurrence and subducting seafloor covered with siliceous pelagic sediments. We suggest that the combination of pelagic clay and siliceous sediments and rough seafloor topography near the trench play important roles in controlling the genesis of tsunami earthquakes along Sumatra and other regions, rather than the subduction tectonic framework of accretionary or erosive margin.
Copyright and License
© 2024. American Geophysical Union. All Rights Reserved.
Acknowledgement
We thank Prof. Bin Chen at SUSTech for the discussion about the pelagic sediment, Prof. Haipeng Luo at SUSTech for the discussion about the tsunami earthquakes. We thank editor Rachel Abercrombie, associate editor Yihe Huang, and two anonymous reviewers for their constructive comments. The work was supported in part by National Key Research and Development Program of China 2023YFF0803200 (L. Y.), National Natural Science Foundation of China 42376212 (Y. B.), National Natural Science Foundation of China 42074048 (S. X.), and National Science Foundation Grant EAR1802364 (T. L.).
Data Availability
Global seismic data were downloaded from the Incorporated Research Institutions for Seismology (IRIS) data management center (http://ds.iris.edu/wilber3/find_event), including stations from Global Seismographic Network code II (Scripps Institution of Oceanography [SIO], 1986, available at https://doi.org/10.7914/SN/II), IU (ASL/USGS, 1988, available at https://doi.org/10.7914/SN/IU), and International Federation of Digital Seismic Networks (FDSN) code AU (Geoscience Australia, 2021, available at https://doi.org/10.26186/144675), AW (Alfred Wegener Institute For Polar And Marine Research [AWI], 1993, available at https://doi.org/10.14470/NJ617293), FN (Sodankylä Geophysical Observatory/University Of Oulu (Finland), 1980, available at https://doi.org/10.14470/SA879454), G (Institut de physique du globe de Paris (IPGP) & École et Observatoire des Sciences de la Terre de Strasbourg (EOST), 1982, available at https://doi.org/10.18715/GEOSCOPE.G), GE (GEOFON Data Centre, 1993, available at https://doi.org/10.14470/TR560404), GT (Albuquerque Seismological Laboratory (ASL)/USGS, 1993, available at https://doi.org/10.7914/SN/GT), HU [Kövesligethy Radó Seismological Observatory (Geodetic And Geophysical Institute, Research Centre For Astronomy And Earth Sciences, Hungarian Academy Of Sciences), 1992, available at https://doi.org/10.14470/UH028726], IC (Albuquerque Seismological Laboratory (ASL)/USGS, 1992, available at https://doi.org/10.7914/SN/IC), JP, KC (Central Asian Institute for Applied Geosciences, 2008, available at https://doi.org/10.7914/SN/KC), MN (MedNet Project Partner Institutions, 1990, available at https://doi.org/10.13127/sd/fbbbtdtd6q) and PS. The tsunami observation at Cocos Island tide gauge station is downloaded from the European Commission Joint Research Centre, ISPRA, Space, Security and Migration Directorate (JRC, https://webcritech.jrc.ec.europa.eu/tad_server/). The high-resolution bathymetry BATNAS data set is downloaded from Indonesian Geospatial Information Agency (https://tanahair.indonesia.go.id/portal-web/unduh/batnas). We thank the facilities of IRIS Data Services, and specifically the IRIS Data Management Center, which were used for access to waveforms, related metadata, and/or derived products used in this study. Data Services are funded through the Seismological Facilities for the Advancement of Geoscience (SAGE) Award of the National Science Foundation under Cooperative Support Agreement EAR-1851048. Global Centroid Moment Tensor solutions are from https://www.globalcmt.org/CMTsearch.html. The USGS-NEIC catalog is from https://earthquake.usgs.gov/earthquakes/search/. All links were last accessed on 29 October 2024.
Supplemental Material
Supporting Information S1: 2024JB030284-sup-0001-Supporting Information SI-S01.pdf
Files
Additional details
- National Natural Science Foundation of China
- 42376212
- National Natural Science Foundation of China
- 42074048
- National Science Foundation
- EAR1802364
- Accepted
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2024-11-30Accepted
- Available
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2024-12-09Version of record online
- Caltech groups
- Division of Geological and Planetary Sciences (GPS)
- Publication Status
- Published