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Coseismic Slip Distribution of the 2019 Mw 7.5 New Ireland Earthquake from the Integration of Multiple Remote Sensing Techniques

Lookup NU author(s): Chuang Song, Chen Yu, Professor Zhenhong Li, Dr Ruya Xiao

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2019 by the authors.The 2019 Mw 7.5 New Ireland earthquake occurred at an equatorial area where the dense vegetation prevents remote sensing techniques such as C- or X-band interferometric synthetic aperture radar (SAR) from acquiring coherent phase measurements. Therefore, in this paper, multiple remote sensing techniques including the L-band interferometric SAR, the range and azimuth offset tracking of SAR intensities, and the offset tracking of optical images were employed to map its co-seismic deformation field and to determine the slip distribution. The surface rupture was clearly and consistently captured by all offset observations, with the ground fault trace striking at an angel of 315° and extending over 10 km. An iterative weighting strategy based on the residual root mean square of inversions using individual datasets was developed to determine the relative weight of each dataset, allowing for the joint inversion of the fault geometry, the refinement of the dip angle, and the determination of the best fitting slip distribution. The resultant model indicates a nearly left-lateral strike-slip motion on the Weitin fault that ruptured to the surface with a maximum slip of 6.10 m, occurring at a depth of ~10 km, and a geodetic moment release of 1.03 × 1020 Nm, corresponding to a magnitude of Mw 7.31. The distribution of aftershocks shows about 70% of aftershocks were located in the area with increased Coulomb failure stress and few aftershocks in the subduction zone to the south of theWeitin fault were triggered by this event.


Publication metadata

Author(s): Song C, Yu C, Li Z, Li Y, Xiao R

Publication type: Article

Publication status: Published

Journal: Remote Sensing

Year: 2019

Volume: 11

Issue: 23

Pages: 1-16

Online publication date: 24/11/2019

Acceptance date: 22/11/2019

Date deposited: 09/01/2020

ISSN (electronic): 2072-4292

Publisher: MDPI AG

URL: https://doi.org/10.3390/rs11232767

DOI: 10.3390/rs11232767


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