2019
DOI: 10.1029/2018jb016356
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A Generalized H‐κ Method With Harmonic Corrections on Ps and Its Crustal Multiples in Receiver Functions

Abstract: The H-κ method (Zhu & Kanamori, 2000, https://doi.org/10.1029/1999JB900322) has been widely used to estimate the crustal thickness (H) and the ratio of P to S velocities (V P /V S ratio, κ) with receiver functions. However, in regions where the crustal structure is complicated, the method may produce biased results, arising particularly from dipping Moho and/or crustal anisotropy. H-κ stacking in case of azimuthal or radial anisotropy with flat Moho has been proposed but not for cases with plunging anisotropy … Show more

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Cited by 45 publications
(75 citation statements)
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“…These stations are mainly located in the External Dinarides where strong crustal discontinuities obscure or interfere with the signal from the deeper Moho interface, which is reflected in the uncertainty estimation (Figure b). In a recent paper, Li et al () warn that in the areas where Moho dip is considerable (as is the case here), and/or anisotropy is not negligible, application of traditional H − κ may produce biased results. Likewise, Ogden et al () showed that gradational Moho, as well as complicated crustal structure, will also have adverse effect on the accuracy and confidence of results.…”
Section: Application Of the Methods And Resultsmentioning
confidence: 74%
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“…These stations are mainly located in the External Dinarides where strong crustal discontinuities obscure or interfere with the signal from the deeper Moho interface, which is reflected in the uncertainty estimation (Figure b). In a recent paper, Li et al () warn that in the areas where Moho dip is considerable (as is the case here), and/or anisotropy is not negligible, application of traditional H − κ may produce biased results. Likewise, Ogden et al () showed that gradational Moho, as well as complicated crustal structure, will also have adverse effect on the accuracy and confidence of results.…”
Section: Application Of the Methods And Resultsmentioning
confidence: 74%
“…Hopefully, our results will be updated with additional data from various other regional studies currently in progress, possibly also using novel approaches and methods. In particular, it seems that the H − κ– c algorithm (Li et al, ) that uses harmonic corrections for RFs to minimize the influence of dipping Moho as well as of the crustal S‐wave anisotropy, could be beneficial in this area of pronounced Moho topography.…”
Section: Discussionmentioning
confidence: 99%
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“…However, in the presence of complicated crustal structures or properties, such as the dipping Moho and crustal anisotropy, the H ‐ κ results can be biased owing to the deviation from the premise hypothesis of laterally homogenous and isotropic crust (Hammond, 2014; Tan et al., 2018). Here, we use a generalized H ‐ κ method with the harmonic correction, to minimize the biases due to the dipping Moho and crustal anisotropy (i.e., the H ‐ κ ‐ c method, J. Li et al., 2019). After correcting azimuthally dependent variations of the Moho Ps phase and crustal multiples in the 2 π or π periodicity, which could be induced by the interface inclination and azimuthal anisotropy, respectively (Savage, 1998), the H ‐ κ ‐ c method provides a more reliable H ‐ κ result based on more identical multiples and focused stacking energy (Figure 2).…”
Section: Methodsmentioning
confidence: 99%
“…We also estimate crustal thickness (H) and Vp/Vs ratio (k) at each station using a modified H-k stacking scheme with harmonic corrections (H-k-c) (Li et al, 2019;Zhu & Kanamori, 2000). The algorithm resolves and removes the degree-1 and degree-2 back-azimuthal harmonic variations of Moho Ps and two crustal multiples and then performs the traditional H-k scheme on the harmonic-corrected RFs to calculate the optimal solution of H and k. Standard deviations are estimated using the bootstrapping resampling technique (Efron & Tibshirani, 1986).…”
Section: Methodsmentioning
confidence: 99%