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Title: Source rupture processes of the 2016 Kumamoto, Japan, earthquakes estimated from strong-motion waveforms
Authors: Kubo, Hisahiko
Suzuki, Wataru
Aoi, Shin
Sekiguchi, Haruko  kyouindb  KAKEN_id
Author's alias: 関口, 春子
Keywords: The 2016 Kumamoto earthquakes
Source rupture process
Strong-motion waveforms
Issue Date: 3-Oct-2016
Publisher: Springer Nature
Journal title: Earth, Planets and Space
Volume: 68
Thesis number: 161
Abstract: The detailed source rupture process of the M 7.3 event (April 16, 2016, 01:25, JST) of the 2016 Kumamoto, Japan, earthquakes was derived from strong-motion waveforms using multiple-time-window linear waveform inversion. Based on the observations of surface ruptures, the spatial distribution of aftershocks, and the geodetic data, a realistic curved fault model was developed for source-process analysis of this event. The seismic moment and maximum slip were estimated as 5.5 × 1019 Nm (M w 7.1) and 3.8 m, respectively. The source model of the M 7.3 event had two significant ruptures. One rupture propagated toward the northeastern shallow region at 4 s after rupture initiation and continued with large slips to approximately 16 s. This rupture caused a large slip region 10–30 km northeast of the hypocenter that reached the caldera of Mt. Aso. Another rupture propagated toward the surface from the hypocenter at 2–6 s and then propagated toward the northeast along the near surface at 6–10 s. A comparison with the result of using a single fault plane model demonstrated that the use of the curved fault model led to improved waveform fit at the stations south of the fault. The source process of the M 6.5 event (April 14, 2016, 21:26, JST) was also estimated. In the source model obtained for the M 6.5 event, the seismic moment was 1.7 × 1018 Nm (M w 6.1), and the rupture with large slips propagated from the hypocenter to the surface along the north-northeast direction at 1–6 s. The results in this study are consistent with observations of the surface ruptures.
Rights: © 2016 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
URI: http://hdl.handle.net/2433/218864
DOI(Published Version): 10.1186/s40623-016-0536-8
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