Abstract:We study the crustal structure of Sri Lanka by analyzing data from a temporary seismic network deployed in 2016–2017 to shed light on the amalgamation process from a geophysical perspective. Rayleigh wave phase dispersion curves from ambient noise cross correlation and receiver functions were jointly inverted using a transdimensional Bayesian approach. The Moho depths in Sri Lanka range between 30 and 40 km, with the thickest crust (38–40 km) beneath the central Highland Complex (HC). The thinnest crust (30–35… Show more
“…In order to provide a model with resolution of Vs and Vp/Vs in the upper few km, we combine the complementary sensitivities of Rayleigh-wave phase velocities (upper crust), ellipticity (upper few km), and the initial pulse of teleseismic receiver functions (shallow Vp/Vs ratio and shallow interfaces) to create a self-consistent model at the regional scale across southern California. The idea to combine receiver functions and surface wave data in a Bayesian joint inversion to determine Vs and Vp/Vs is relatively new (Dreiling et al, 2020;Ojo et al, 2019), and only recently shown to be promising in resolving near-surface Vs and Vp/Vs in sediments (Li et al, 2019). By including Vp/Vs as a parameter we are able to fit receiver functions on a regional scale for the first time across 231 Southern California stations, including in basins where receiver functions have long been discarded as nuisance signals or "corrected" with ad-hoc models, as reverberations overprint Moho and other crustal signatures (e.g., Yeck et al, 2013).…”
A primary motivation for these works is the significant seismic hazard posed by the San Andreas fault system, and the related need for physics-based hazard assessment of the region (Graves et al., 2011;Vidale & Helmberger, 1988). For the past 25 years, the Southern California Earthquake Center has developed and maintained multiple Community Velocity Models (CVM) with seismic hazard assessment as one of the explicit goals (
“…In order to provide a model with resolution of Vs and Vp/Vs in the upper few km, we combine the complementary sensitivities of Rayleigh-wave phase velocities (upper crust), ellipticity (upper few km), and the initial pulse of teleseismic receiver functions (shallow Vp/Vs ratio and shallow interfaces) to create a self-consistent model at the regional scale across southern California. The idea to combine receiver functions and surface wave data in a Bayesian joint inversion to determine Vs and Vp/Vs is relatively new (Dreiling et al, 2020;Ojo et al, 2019), and only recently shown to be promising in resolving near-surface Vs and Vp/Vs in sediments (Li et al, 2019). By including Vp/Vs as a parameter we are able to fit receiver functions on a regional scale for the first time across 231 Southern California stations, including in basins where receiver functions have long been discarded as nuisance signals or "corrected" with ad-hoc models, as reverberations overprint Moho and other crustal signatures (e.g., Yeck et al, 2013).…”
A primary motivation for these works is the significant seismic hazard posed by the San Andreas fault system, and the related need for physics-based hazard assessment of the region (Graves et al., 2011;Vidale & Helmberger, 1988). For the past 25 years, the Southern California Earthquake Center has developed and maintained multiple Community Velocity Models (CVM) with seismic hazard assessment as one of the explicit goals (
“…Lower values of V p /V s (< 1.65) are found in the Espino Graben and Peninsula of Paria. In both regions mafic rocks have been reported as (a) basaltic layers found inside the Espino Graben (e.g., Feo-Codecido et al, 1984) and (b) the dacitic rocks (porphyritic rhyolite; Alvarado, 2005) found in the Serranía del Interior. Our results appear inconsistent with the lithology of the regions, suggesting the values are most likely related to the high density of faults in both areas.…”
Section: P /V S Mapmentioning
confidence: 99%
“…However, our results for the area with the thickest crust are counter-intuitive with regard to standard foreland basin configurations, where the depocenter of the basin is associated with the deepest flexure and the deepest Moho (e.g., Watts, 2001). In the eastern Venezuela Basin, the deepest sediments (∼ 10 km;Feo-Codecido et al, 1984;Di Croce, 1995;Clark et al, 2008;Bezada et al, 2010) are found in the Espino Graben and Maturín sub-basin, located north and northeast of the region with greatest Moho depths. We find the trend and location of the thickest crust are relatively consistent with the location of the contact between the Precambrian basement (i.e., the Guiana Shield extending beneath the sedimentary layers north of the Orinoco River) and the Cambrian basement found between the Espino Graben and the shield (e.g., Feo-Codecido et al, 1984;Di Croce, 1995).…”
Section: Moho Depth From Receiver Functionsmentioning
confidence: 99%
“…In the eastern Venezuela Basin, the deepest sediments (∼ 10 km;Feo-Codecido et al, 1984;Di Croce, 1995;Clark et al, 2008;Bezada et al, 2010) are found in the Espino Graben and Maturín sub-basin, located north and northeast of the region with greatest Moho depths. We find the trend and location of the thickest crust are relatively consistent with the location of the contact between the Precambrian basement (i.e., the Guiana Shield extending beneath the sedimentary layers north of the Orinoco River) and the Cambrian basement found between the Espino Graben and the shield (e.g., Feo-Codecido et al, 1984;Di Croce, 1995). We suggest that this indicates that the allochthonous Paleozoic terrains accreted to the north of the Guiana Shield either had a crustal thickness larger than the shield itself or, alternatively, that the accretion process deformed the crust in such a way that now the deepest Moho is found on this contact.…”
Section: Moho Depth From Receiver Functionsmentioning
Abstract. We use 1.5 years of continuous recordings from an amphibious
seismic network deployment in the region of northeastern South America and
the southeastern Caribbean to study the crustal and uppermost mantle structure
through a joint inversion of surface-wave dispersion curves determined from
ambient seismic noise and receiver functions. The availability of both ocean
bottom seismometers (OBSs) and land stations makes this experiment ideal to
determine the best processing methods to extract reliable empirical Green's
functions (EGFs) and construct a 3D shear velocity model. Results show EGFs
with high signal-to-noise ratio for land–land, land–OBS and OBS–OBS paths
from a variety of stacking methods. Using the EGF estimates, we measure
phase and group velocity dispersion curves for Rayleigh and Love waves. We
complement these observations with receiver functions, which allow us to
perform an H-k analysis to obtain Moho depth estimates across the study
area. The measured dispersion curves and receiver functions are used in a
Bayesian joint inversion to retrieve a series of 1D shear-wave velocity
models, which are then interpolated to build a 3D model of the region. Our
results display clear contrasts in the oceanic region across the border of
the San Sebastian–El Pilar strike-slip fault system as well as a high-velocity region that corresponds well with the continental craton of
southeastern Venezuela. We resolve known geological features in our new
model, including the Espino Graben and the Guiana Shield provinces, and
provide new information about their crustal structures. Furthermore, we
image the difference in the crust beneath the Maturín and Guárico
sub-basins.
“…The Mannar Basin (west of Sri Lanka, partly onshore, Figure 1) has been formed during Gondwana breakup, which initiated at approximately 165 Ma (Royer & Coffin, 1992). A great amount of rifting between India and Sri Lanka together with strike slip movement and anticlockwise rotation of Sri Lanka was responsible for significant widening and rapid subsidence in the basin (Kularathna et al, 2015) and is associated with strong crustal thinning along the west coast.…”
<p>We study the crustal structure of Sri Lanka by analyzing data from a temporary seismic network deployed in 2016-2017 to shed light on the amalgamation process from the geophysical perspective. Rayleigh wave phase dispersion from ambient noise cross-correlation and receiver functions were jointly inverted using a transdimensional Bayesian approach.</p><p>The Moho depths range between 30 and 40 km, with the thickest crust (38-40 km) beneath the central Highland Complex (HC). The thinnest crust (30-35 km) is found along the west coast, which experienced crustal thinning associated with the formation of the Mannar Basin. Vp/Vs ratios lie within a range of 1.60-1.82 and predominantly favor a felsic composition with intermediate-to-high silica content of the rocks.</p><p>A major intra-crustal (18-27 km), slightly westward dipping (~4.3&#176;) interface with high Vs (~4 km/s) underneath is prominent in the central HC, continuing in the eastern Vijayan Complex (VC). The dipping discontinuity and a low velocity zone in the central Highlands can be related to the HC/VC contact zone and is in agreement with a well-established amalgamation hypothesis of a stepwise collision of the arc fragments, including deep crustal thrusting processes and a transpressional regime along the suture between the HC and VC.</p>
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