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Strain partitioning in the Southeastern Tibetan Plateau from kinematic modeling of high-resolution Sentinel-1 InSAR and GNSS
Peer-reviewed
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.
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