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JDR Vol.8 No.2 pp. 252-258
(2013)
doi: 10.20965/jdr.2013.p0252

Paper:

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Estimation of Deep Shear-Wave Velocity Profiles in Lima, Peru, Using Seismometers Arrays

Diana Calderon*, Zenon Aguilar*, Fernando Lazares*,
Toru Sekiguchi**, and Shoichi Nakai**

*Faculty of Civil Engineering, National University of Engineering, Av. Túpac Amaru N°1150, Lima 25, Peru

**Department of Urban Environment Systems, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 268-8522, Japan

Received:
November 12, 2012
Accepted:
January 22, 2013
Published:
March 1, 2013
Creative Commons License
Keywords:
surface wave, microtremor, seismic record, shear-wave velocity profile
Abstract
The estimation of the shear-wave velocity profile in Lima, Peru, was originally performed through surface wave observation in microtremor arrays. In the observation of these surface waves, a low signal problem for long periods was identified that resulted in a poorly done correlation between signals recorded by sensors and, consequently, in difficulty obtaining deep velocity profiles with good resolution. As an alternative, surface wave observation from seismic records was proposed. To confirm the feasibility of this methodology, seismometers were installed in an approximately circular configuration on the campus of the National University of Engineering in Lima. The procedures used to carry out analysis are similar to those used when analyzing microtremor arrays, with the exception that only the coda of seismic records is used for analysis. Results show that the dispersion curve obtained from seismometer arrays agree well with dispersion curve obtained from microtremor arrays and are predominant in a large period range. Finally, the estimated profile is verified using the observed H/V spectrum.
Cite this article as:
D. Calderon, Z. Aguilar, F. Lazares, T. Sekiguchi, and S. Nakai, “Estimation of Deep Shear-Wave Velocity Profiles in Lima, Peru, Using Seismometers Arrays,” J. Disaster Res., Vol.8 No.2, pp. 252-258, 2013.
Data files:
References
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Last updated on Sep. 21, 2023