Kilometer-resolution three-dimensional crustal deformation of Tibetan Plateau from InSAR and GNSS

Liu, Chuanjin; Ji, Lingyun; Zhu, Liangyu; Xu, Caijun; Zhao, Chaoying; Lu, Zhong; Wang, Qingliang

doi:10.1007/s11430-023-1289-4

Cited by 1 publication

(2 citation statements)

References 60 publications

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“…The margins of the plateau show convergence. These patterns are broadly consistent with the geodetically-derived dilatation strain rate field (C. Liu et al, 2024;Wright et al, 2023).…”

Section: Case 13: Weak Area Of High Topographysupporting

confidence: 80%

“…High-resolution InSAR data add extra detail to the velocity field in two ways. First, where there is strain on major faults, the InSAR data sharpens and localizes the strain field, providing clarity on which faults are associated with localized strain (Wright et al, 2023;C. Liu et al, 2024).…”

Section: Comparison With Previous Dynamic Models Of the India-eurasia...mentioning

confidence: 99%

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The Dynamics of the India‐Eurasia Collision: Faulted Viscous Continuum Models Constrained by High‐Resolution Sentinel‐1 InSAR and GNSS Velocities

Fang,

Houseman,

Wright

et al. 2024

JGR Solid Earth

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The distribution and magnitude of forces driving lithospheric deformation in the India‐Eurasia collision zone have been debated over many decades. Here we test a two‐dimensional (2‐D) Thin Viscous Shell approach that has been adapted to explicitly account for displacement on major faults and investigate the impact of lateral variations in depth‐averaged lithospheric strength. We present a suite of dynamic models to explain the key features from new high‐resolution Sentinel‐1 Interferometric Synthetic Aperture Radar as well as Global Navigation Satellite System velocities. Comparisons between calculated and geodetically observed velocity and strain rate fields indicate: (a) internal buoyancy forces from Gravitational Potential Energy acting on a relatively weak region of highest topography (>2,000 m) contribute to dilatation of the high plateau and contraction on the margins; (b) a weak central Tibetan Plateau (∼1021 Pa s compared to far‐field depth‐averaged effective viscosity of at least 1022–1023 Pa s) is required to explain the observed long‐wavelength eastward velocity variation; (c) localized displacement on fault systems enables strain concentration and clockwise rotation around the Eastern Himalayan Syntaxis. We discuss the tectonic implications for rheology of the lithosphere, distribution of geodetic strain, and partitioning of active faulting and seismicity.

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“…The margins of the plateau show convergence. These patterns are broadly consistent with the geodetically-derived dilatation strain rate field (C. Liu et al, 2024;Wright et al, 2023).…”

Section: Case 13: Weak Area Of High Topographysupporting

confidence: 80%

Section: Comparison With Previous Dynamic Models Of the India-eurasia...mentioning

confidence: 99%

The Dynamics of the India‐Eurasia Collision: Faulted Viscous Continuum Models Constrained by High‐Resolution Sentinel‐1 InSAR and GNSS Velocities

Fang,

Houseman,

Wright

et al. 2024

JGR Solid Earth

View full text Add to dashboard Cite

show abstract

Kilometer-resolution three-dimensional crustal deformation of Tibetan Plateau from InSAR and GNSS

Cited by 1 publication

References 60 publications

The Dynamics of the India‐Eurasia Collision: Faulted Viscous Continuum Models Constrained by High‐Resolution Sentinel‐1 InSAR and GNSS Velocities

The Dynamics of the India‐Eurasia Collision: Faulted Viscous Continuum Models Constrained by High‐Resolution Sentinel‐1 InSAR and GNSS Velocities

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