2007
DOI: 10.1061/(asce)1090-0241(2007)133:2(155)
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Inversion of Seismic Surface Wave Data to Resolve Complex Profiles

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Cited by 28 publications
(16 citation statements)
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“…In order to reduce the non‐uniqueness of the inversion, the borehole and other geophysical information are used to estimate the depth to bedrock and a Poisson’s ratio (ν) of 0.4 was used for all soil layers and ν=0.25 was used for bedrock layers. Following the recommendations of Cercato () and Luke and Calderón‐Macías () the layer thickness in the model was increased exponentially with depth. This reflects the fact that the resolving power of MASW data decreases with depth.…”
Section: Geophysical Resultsmentioning
confidence: 99%
“…In order to reduce the non‐uniqueness of the inversion, the borehole and other geophysical information are used to estimate the depth to bedrock and a Poisson’s ratio (ν) of 0.4 was used for all soil layers and ν=0.25 was used for bedrock layers. Following the recommendations of Cercato () and Luke and Calderón‐Macías () the layer thickness in the model was increased exponentially with depth. This reflects the fact that the resolving power of MASW data decreases with depth.…”
Section: Geophysical Resultsmentioning
confidence: 99%
“…An alternative approach is the linearized inversion, which has been extensively applied using least squares methods [e.g., Wiggins , ; Nolet , ; Gabriels et al , ; Xia et al , ; Herrmann , ]. Luke and Calderon‐Macías [] showed that linearized inversion yields excellent dispersion results for well‐constrained S wave velocity profiles. To determine the S wave velocity structure of the firn and underlying ice from the surface wave velocities, we applied the linearized inversion code suggested by Herrmann [].…”
Section: Methodsmentioning
confidence: 99%
“…In order to reduce the non‐uniqueness of the inversion, P‐wave velocities from the seismic refraction surveys were included as a priori information. Following the recommendations of Cercato () and Luke and Calderón‐Macías () the layer thickness in the model was increased exponentially with depth. This reflects the fact that the resolving power of MASW data decreases with depth.…”
Section: Geophysical Acquisition Parametersmentioning
confidence: 99%