2020
DOI: 10.1029/2020jb019420
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Receiver Function Velocity Analysis Technique and Its Application to Remove Multiples

Abstract: Results of P wave receiver function (RF) analysis (e.g., H‐κ stacking, common conversion point (CCP) stacking, and migration) depend on the velocity models employed. Converted phases of crustal and upper mantle discontinuities are often interfered by multiple reflections from shallower structures, adding further complexity to the interpretation of P wave RF images. In this study, we propose a receiver function velocity analysis technique (RFVAT) that can constrain the velocity structure above discontinuities a… Show more

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Cited by 8 publications
(6 citation statements)
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“…This is the opposite behavior for the Ps-converted waves that do not experience top-side reflections. These conversions arrive later for earthquakes located closer to the station (Ryberg & Weber, 2000;J. Shi et al, 2020).…”
Section: Rfs At High-frequency: Contaminated Radial Stacksmentioning
confidence: 90%
See 1 more Smart Citation
“…This is the opposite behavior for the Ps-converted waves that do not experience top-side reflections. These conversions arrive later for earthquakes located closer to the station (Ryberg & Weber, 2000;J. Shi et al, 2020).…”
Section: Rfs At High-frequency: Contaminated Radial Stacksmentioning
confidence: 90%
“…This is the opposite behavior for the Ps‐converted waves that do not experience top‐side reflections. These conversions arrive later for earthquakes located closer to the station (Ryberg & Weber, 2000; J. Shi et al., 2020). Depending on the station location, data quality, and depth to other discontinuities beneath a station, crustal multiples may not always be easily identified in the receiver function stacks.…”
Section: Methodsmentioning
confidence: 99%
“…These conversions arrive later for earthquakes located closer to the station (J. Shi et al, 2020;Ryberg & Weber, 2000). Depending on the station location, data quality, and depth to other discontinuities beneath a station, crustal multiples may not always be easily identified in the receiver function stacks.…”
Section: Datamentioning
confidence: 99%
“…The Radon model reconstructs each wavefield contribution at the required slowness p with the correct time-shift q i p 2 , which is parabolic in slowness with the curvature q as the coefficient. To better understand this approximation and why it can separate direct conversions from multiples, consider the Taylor expansion of the arrival time for each wavefield contribution given a single-layer model with thickness h, compressional velocity α, and shear velocity β (Ryberg & Weber, 2000;Shi et al, 2020):…”
Section: Transformmentioning
confidence: 99%
“…Recent extensions of the slowness slant stack methodology for global body-wave imaging improve resolution by incorporating the notion of the time-and-space locality as well as phase-coherence before stacking (Ventosa et al, 2012;Ventosa & Romanowicz, 2015a, 2015bZheng et al, 2015). Similar ideas have been applied to Ps-RFs in many variations (Guan & Niu, 2017;Gurrola et al, 1994;Shi et al, 2020), all borrowing slightly from exploration seismology, where velocity spectral analysis is used to disentangle phases, given a known earth model (O. Yilmaz, 1987).…”
Section: Comparing the Sparse Non-linear Radon Filters And Vespagramsmentioning
confidence: 99%