Fang, J., Wright, T.J. orcid.org/0000-0001-8338-5935, Johnson, K.M. et al. (6 more authors) (2024) Strain Partitioning in the Southeastern Tibetan Plateau From Kinematic Modeling of High‐Resolution Sentinel‐1 InSAR and GNSS. Geophysical Research Letters, 51 (19). e2024GL111199. ISSN 0094-8276
Abstract
Fault slip rates estimated from geodetic data are being integrated into seismic hazard models. The standard approach requires modeling velocities and relative (micro-)plate motions, which is challenging for fault-based models. We present a new approach to directly invert strain rates to solve for slip rates and distributed strain simultaneously. We generate velocity and strain rate fields over the southeastern Tibetan Plateau, utilizing Sentinel-1 Interferometric Synthetic Aperture Radar data spanning 2014–2023. We derive slip rates using block modeling and by inverting strain rates. Our results show a partitioning between localized strain on faults and distributed deformation. The direct inversion of strain rates matches the geodetic data best when incorporating distributed moment sources, accounting for a similar proportion to on-fault sources. The direct strain methodology also aligns best with the independent geological slip rates, especially near fault tips. As high-resolution strain rate fields become increasingly available, we recommend direct inversion as the preferred practice.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024. The Author(s). This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Mar 2025 13:29 |
Last Modified: | 05 Mar 2025 13:29 |
Status: | Published |
Publisher: | American Geophysical Union |
Identification Number: | 10.1029/2024gl111199 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:223883 |