To explore the usefulness of the ambient seismic noise tomography method for characterizing the subsoil surface structure, in this study, we apply this method to contribute to geotechnical decision-making in the construction of a school building. We used a rectangular array (36x56 m) of 48-4.5 Hz vertical geophones and produce surface wave tomographies from the travel times of Rayleigh waves extracted by cross-correlation of seismic noise. We determined a final 3D Vs model using 1D models derived from the inversion of dispersion curves obtained from the tomography maps for different frequencies. The 3D model shows an excellent resolution (vertical and lateral); we observe critical velocity contrasts in the range of 2 to 15 m deep. At depths higher than 15 m, the velocity has values close to 900 m/s; however, we observe a low-velocity anomaly associated with a lava tube or crack that seems to continue under an adjacent building.
A portion of the west of Mexico City is a densely populated area located
in an abrupt topography, whose volcano-sedimentary materials increase
the likelihood of landslides. This study uses Seismic Refraction
Tomography (SRT) and Ambient Noise Tomography (ANT) methods to estimate
the extent of landslide-prone materials at a test site. We exploited the
geometry of a quadrangular array of surface sources and receivers to
generate a Vp tomography image of the bedrock and surface-wave
group-velocity tomographies of SRTand ANT in the frequency range of 6 to
26 Hz. We found that the best velocities correlation between the two
methods is an average frequency of 24 Hz. The results show the areas of
low velocity associated with materials that have lost their resistance
due to the increase in pore pressure (Vs < 100 m/s) and the
areas where eventually more landslides will occur (120 < Vs
< 200 m/s) if mitigation work is not carried out. The most
stable zones correspond to materials with velocity values greater than
250 m/s that overlap a substratum at an average depth of 8 m. In the
case of a high risk of landslide, when it is not advisable to perform
active source experiments, ANT can provide good results to determine the
extension of the sliding materials.
A portion of the west of Mexico City is a densely populated area located
in an abrupt topography, whose volcano-sedimentary materials increase
the likelihood of landslides. This study uses Seismic Refraction
Tomography (SRT) and Ambient Noise Tomography (ANT) methods to estimate
the extent of landslide-prone materials at a test site. We exploited the
geometry of a quadrangular array of surface sources and receivers to
generate a Vp tomography image of the bedrock and surface-wave
group-velocity tomographies of SRTand ANT in the frequency range of 6 to
26 Hz. We found that the best velocities correlation between the two
methods is an average frequency of 24 Hz. The results show the areas of
low velocity associated with materials that have lost their resistance
due to the increase in pore pressure (Vs < 100 m/s) and the
areas where eventually more landslides will occur (120 < Vs
< 200 m/s) if mitigation work is not carried out. The most
stable zones correspond to materials with velocity values greater than
250 m/s that overlap a substratum at an average depth of 8 m. In the
case of a high risk of landslide, when it is not advisable to perform
active source experiments, ANT can provide good results to determine the
extension of the sliding materials.
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