2015
DOI: 10.3997/2214-4609.201413310
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Guided Waves and Rayleigh Leaking Modes With Outpost Algorithm

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Cited by 3 publications
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“…The attenuation curves of the three PL modes are specially drawn in Figure 11. It is evident that the three PL modes all display maximas and minimas periodically and that's why the pronounced tuning effect of leaky modes is reported in the literature (Roth et al, 1998;Znak et al, 2015). As a band-pass filter (see Figure 12 for the effect of PL modes), the PL modes may even have wavenumbers with the imaginary parts bei `ng almost zero (Figure 11), which, as slowlyattenuating P-SV leaky waves, were extensively studied by Garcí a-Jerez and Sá nchez-Sesma (2015).…”
Section: Case 1: a Near-surface Modelmentioning
confidence: 81%
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“…The attenuation curves of the three PL modes are specially drawn in Figure 11. It is evident that the three PL modes all display maximas and minimas periodically and that's why the pronounced tuning effect of leaky modes is reported in the literature (Roth et al, 1998;Znak et al, 2015). As a band-pass filter (see Figure 12 for the effect of PL modes), the PL modes may even have wavenumbers with the imaginary parts bei `ng almost zero (Figure 11), which, as slowlyattenuating P-SV leaky waves, were extensively studied by Garcí a-Jerez and Sá nchez-Sesma (2015).…”
Section: Case 1: a Near-surface Modelmentioning
confidence: 81%
“…Because the PL modes in Figure 18 are found to have negligible energy below 200 m deep, this may account for the decrease in the number and the strength of the excited modes when the source depth is increased to 200 m (Figure 17). Were the source not a point source but a horizontal force source, some OP modes would be expected to appear on the spectrum, as illustrated by Znak et al (2015). First, based on the synthetic seismograms generated by the DWM and the NMM, we find that for a given model the contribution of leaky modes to the resultant seismograms depends upon the source mechanism and the source depth (the receiver is assumed to be on the surface).…”
Section: Case 2: a Shallow-water Modelmentioning
confidence: 93%
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