Detailed lithospheric structure of an arc-continent collision beneath Taiwan revealed by joint inversion of seismological and gravity data

Gautier, Stéphanie; Tiberi, Christel; Lopez, Marie; Foix, Océane; Lallemand, Serge; Theunissen, Thomas; Hwang, Cheinway; Chang, En‐Chi

doi:10.1093/gji/ggz159

Cited by 7 publications

(8 citation statements)

References 57 publications

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“…To the east of the LV is the CoR of PSP affinity, where the Moho depth and V p / V s , respectively, vary from 27 km and 1.92 beneath HGSD around 23.5°N to 15 km and 1.75 beneath FULB about 35 km to the south. Such large variations imply that the Moho geometry and crustal elastic properties under the collision suture and accreted CoR may have been disturbed drastically through subduction‐extrusion processes (Gautier et al., 2019). Both the sites yield a similarly high V p of about 6.54–6.62 km/s anticipated for the crust in an accreted oceanic arc setting.…”

Section: Resultsmentioning

confidence: 99%

Lateral Variations of Moho Depth and Average Crustal Properties Across the Taiwan Orogen From H‐V Stacking of P and S Receiver Functions

Goyal

Hung

2021

Geochem Geophys Geosyst

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Being located at the junction of two opposite-verging subduction zones, the Ryukyu arc-trench in the northeast and Luzon arc-Manila trench in the south, the island of Taiwan is characterized by its complex tectonics and high rate of seismicity and crustal deformation (e.g., Chen et al., 2016; Simoes et al., 2012) and essentially emerged as a consequence of the colliding interaction between them (e.g., Suppe, 1984; Teng, 1990). The presently still active orogeny mainly forced by the indention of the northwestward-moving Philippine Sea Plate (PSP) into the Eurasian continental margin has resulted in the prevailing north-south trending mountain ranges and geological structures in Taiwan (e.g., Ho, 1988; Teng & Lin, 2004) (Figure 1).

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Section: Resultsmentioning

confidence: 99%

Lateral Variations of Moho Depth and Average Crustal Properties Across the Taiwan Orogen From H‐V Stacking of P and S Receiver Functions

Goyal

Hung

2021

Geochem Geophys Geosyst

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“…Backarc rifting appears to produce additional compression in the southern Ryukyu accretionary wedge as illustrated by the seismicity distribution, which suggests the rotating Yonaguni block overrides and deflects the subducting PSP, inducing a steep change in the slab geometry (Gautier et al., 2019). To estimate the relative motion between the PSP and the forearc, we estimate the differential velocities between plate convergence and backarc rifting along the Ryukyu Arc.…”

Section: Resultsmentioning

confidence: 99%

Strain Partitioning in the Southern Ryukyu Margin Revealed by Seafloor Geodetic and Seismological Observations

Chen

Hsu

Ikuta

et al. 2022

Geophysical Research Letters

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The southern Ryukyu subduction zone is one of the potential sources for tsunamigenic earthquakes. Despite a great seismic risk, the deformation pattern remains poorly known, primarily due to the absence of seafloor constraints. With GNSS‐acoustic measurements over years, we characterize the convergence rate across this margin growing from 92 mm/yr offshore eastern Taiwan to 123 mm/yr near the Gagua Ridge. The new data suggest the subduction interface is capable of hosting Mw 7.5–8.4 earthquakes. The orientations of seafloor movement and P‐axes in the Nanao Basin are both subnormal to the trench, notably deviate from the direction of plate convergence. By considering the combined effect of plate convergence and backarc rifting, different trends between the forearc convergence, P‐axes, and seafloor movement may indicate some degree of slip‐partitioning. The trench‐parallel component is likely accommodated in part by earthquakes near Taiwan, lower plate deformation, and strike‐slip faults within the accretionary wedge.

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“…(2018) and Gautier et al. (2019) and (2) when the parameter relationship is included as part of the joint inversion workflow. From this second group, Tiberi et al.…”

Section: Introductionmentioning

confidence: 99%

“…Carcione et al (2007) showed how in sedimentary environments porosity and fluids of the rock matrix can provide a physical link that causes a correlation between seismic velocities and electrical conductivities. The so-called petrophysical joint inversion has generally been approached in two ways: (1) when there is a relationship between the parameters which are used to constrain the dependent parameters, in a sequential inversion mode, for example Dufréchou et al (2018) and Gautier et al (2019) and (2) when the parameter relationship is included as part of the joint inversion workflow. From this second group, Tiberi et al (2008) retrieved linear relationships with the depth between the density and the compressional velocity in a Birch (1960) type relationship.…”

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confidence: 99%

Joint one‐dimensional inversion of magnetotelluric data and surface‐wave dispersion curves using correspondence maps

Aquino

Marquis

Vergne

2022

Geophysical Prospecting

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We use a correspondence map to jointly invert surface‐wave dispersion curves and magnetotelluric data for subsurface shear velocity and resistivity but also for a possible relationship between them. Our first experiments consist of inversions of synthetic data computed from models linked by first‐ and second‐order polynomial relationships. Our methodology produces joint inversion model pairs from which 100% fit the ‘observed’ parameter relationship within a 5% error vs only 15% of the separate inversion pairs for the degree 1 relationship experiment. For the degree 2 relationship synthetic test, 80% of the joint inversion model pairs fit the ‘observed’ relationship within a 5% error while 45% of the separate inversion pairs. This reduces the number of acceptable models without compromising the data fit (‘reduction of non‐uniqueness'). The next experiment involves synthetic data from models of known physical properties, taken from well logs, but without a known relationship. We show how to select an appropriate polynomial degree for joint inversion when the relationship is unknown. Having validated the approach with synthetic cases, we apply our methodology to field data. We compare separate and joint inversions, and we find that the one‐dimensional subsurface models retrieved from joint inversions are more similar to previous models documented in the area than the separate inversion models.

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Detailed lithospheric structure of an arc-continent collision beneath Taiwan revealed by joint inversion of seismological and gravity data

Cited by 7 publications

References 57 publications

Lateral Variations of Moho Depth and Average Crustal Properties Across the Taiwan Orogen From H‐V Stacking of P and S Receiver Functions

Lateral Variations of Moho Depth and Average Crustal Properties Across the Taiwan Orogen From H‐V Stacking of P and S Receiver Functions

Strain Partitioning in the Southern Ryukyu Margin Revealed by Seafloor Geodetic and Seismological Observations

Joint one‐dimensional inversion of magnetotelluric data and surface‐wave dispersion curves using correspondence maps

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