Lithospheric Imaging Through Reverberant Layers: Sediments, Oceans, and Glaciers

Zhang, Ziqi; Olugboji, T. M.

doi:10.1029/2022jb026348

Cited by 8 publications

(4 citation statements)

References 77 publications

(115 reference statements)

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“…One possible solution is to use higher‐frequency RFs to separate the Moho‐converted phases and sediment‐reverberations since the low‐velocity sedimentary layer can result in low‐frequency reverberations. A more direct solution is removing the sediment‐reverberations from the RFs (e.g., Yu et al., 2015; Z. Zhang & Olugboji, 2023). If these approaches can be applied to the RFs that we used in MC inversion, the asymmetric problem may be solved.…”

Section: Discussionmentioning

confidence: 99%

Incorporating H‐κ Stacking With Monte Carlo Joint Inversion of Multiple Seismic Observables: A Case Study for the Northwestern US

Wu,

Sui,

Shen

2024

JGR Solid Earth

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Accurately determining the seismic structure of the continental deep crust is crucial for understanding its geological evolution and continental dynamics in general. However, traditional tools such as surface waves often face challenges in solving the trade‐offs between elastic parameters and discontinuities. In this work, we present a new approach that combines two established inversion techniques, receiver function H‐κ stacking and joint inversion of surface wave dispersion and receiver function waveforms, within a Bayesian Monte Carlo (MC) framework to address these challenges. Demonstrated by synthetic tests, the new method greatly reduces trade‐offs between critical parameters, such as the deep crustal Vs, Moho depth, and crustal Vp/Vs ratio. This eliminates the need for assumptions regarding crustal Vp/Vs ratios in joint inversion, leading to a more accurate outcome. Furthermore, it improves the precision of the upper mantle velocity structure by reducing its trade‐off with Moho depth. Additional notes on the sources of bias in the results are also included. Application of the new approach to USArray stations in the Northwestern US reveals consistency with previous studies and identifies new features. Notably, we find elevated Vp/Vs ratios in the crystalline crust of regions such as coastal Oregon, suggesting potential mafic composition or fluid presence. Shallower Moho depth in the Basin and Range indicates reduced crustal support to the elevation. The uppermost mantle Vs, averaging 5 km below Moho, aligns well with the Pn‐derived Moho temperature variations, offering the potential of using Vs as an additional constraint to Moho temperature and crustal thermal properties.

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Section: Discussionmentioning

confidence: 99%

Incorporating H‐κ Stacking With Monte Carlo Joint Inversion of Multiple Seismic Observables: A Case Study for the Northwestern US

Wu,

Sui,

Shen

2024

JGR Solid Earth

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“…A systematic data-driven approach, FADER (FAst Detection and Elimination of Echoes and Reverberations), has recently been proposed by Z. Zhang and Olugboji (2023) to solve the twin problem of detection and elimination of reverberations without a priori knowledge of the elastic structure of the reverberant layers. This approach uses autocorrelation and cepstral analysis to extract the signature of reverberation and then uses a frequency domain filter to remove it and obtain reverberation-free Ps-RF.…”

Section: Crustal Imaging Through Complicated Structures: Promises And...mentioning

confidence: 99%

Crustal Imaging with Noisy Teleseismic Receiver Functions Using Sparse Radon Transform

Zhang,

Olugboji

2023

Preprint

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“…Furthermore, the effectiveness of the resonance filter degrades when the delay in the PbS arrival is large (e.g., due to a thick or very low-velocity sediment layer), when the impedance contrast at the base the sediment layer is low or when sediment layer is very thin (<one fourth of the wavelength of a PbS phase) or very thick (∼5 km or thicker) (Yu et al, 2015). Zhang and Olugboji (2023) further extended the reverberation filtering technique in a data-driven approach for cases where two or more types of reverberant layers are present (sediment, ocean and glaciers) using homomorphic analysis. A slightly different, two-step approach was proposed by Yeck et al (2013) based on the original work of Zhu and Kanamori (2000).…”

Section: Introductionmentioning

confidence: 99%

Waveform Fitting of Receiver Functions for Enhanced Retrieval of Crustal Structure in the Presence of Sediments

Akinremi,

van der Meijde,

Thomas

et al. 2024

JGR Solid Earth

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The receiver function technique is widely used to image crustal structure using P‐to‐S converted phases at the Moho discontinuity. However, the presence of sedimentary layer generates additional P‐to‐S conversions and reverberations, which can overprint the Moho phases and pose problems in imaging crustal structure with standard receiver function techniques. We introduce a robust two‐step method that uses H‐κ stacking to determine average thickness and Vp/Vs of the sedimentary layer, followed by waveform‐fitting of the observed receiver function to constrain the average crustal thickness and sub‐sediment Vp/Vs. We tested the method using both synthetic data and real‐data from stations located on sedimentary layers in the Netherlands and USA. We show that the new method outperforms other common approaches in retrieving accurate Moho depth and sub‐sediment Vp/Vs estimates, even in cases where the Moho phases are completely overprinted by large‐amplitude phases related to sedimentary layers.

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Lithospheric Imaging Through Reverberant Layers: Sediments, Oceans, and Glaciers

Abstract: The Earth is a water world. As a result, high-resolution body wave imaging of discontinuities across and within its lithospheric shell often involves interpreting data obtained from seismic sensors deployed in the oceans, on the seafloor, or above sediments and glaciers (

Cited by 8 publications

References 77 publications

Incorporating H‐κ Stacking With Monte Carlo Joint Inversion of Multiple Seismic Observables: A Case Study for the Northwestern US

Incorporating H‐κ Stacking With Monte Carlo Joint Inversion of Multiple Seismic Observables: A Case Study for the Northwestern US

Crustal Imaging with Noisy Teleseismic Receiver Functions Using Sparse Radon Transform

Waveform Fitting of Receiver Functions for Enhanced Retrieval of Crustal Structure in the Presence of Sediments

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