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Empirical Site Classification of CSN Network Using Strong‐Motion Records

Leyton, F. and Pastén, C. and Ruiz, S. and Idini, B. and Rojas, F. (2018) Empirical Site Classification of CSN Network Using Strong‐Motion Records. Seismological Research Letters, 89 (2A). pp. 512-518. ISSN 0895-0695. doi:10.1785/0220170167.

[img] Archive (ZIP) (Figure showing an example of the combination of two horizontal‐to‐vertical response spectral ratio (HVRSR) from stations with the same classification, and table with details of the location, the number of records used in the computation of the HVRSR ...) - Supplemental Material
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The National Seismological Center of the University of Chile (CSN, Centro Sismológico Nacional) has been operating more than 400 seismic stations throughout the country. The data collected from this network, from March 2012 to August 2017, includes more than 4000 Chilean strong‐motion records, from more than 1000 events (magnitudes ranging from 4.0 up to 8.3). In this study, we use this data set and classify 118 stations from this network, using the horizontal‐to‐vertical response spectral ratio (HVRSR) of strong‐motion records. This classification considers not only the predominant period obtained from the average HVRSR but also the peak amplitude from this curve. The results indicate no correlation between the two parameters, despite the common practice of combining all curves with similar predominant periods. Even more, we believe that relevant information of the site’s impedance contrast between the soil and bedrock is lost in the process of averaging HVRSR curves from different stations.

Item Type:Article
Related URLs:
URLURL TypeDescription
Idini, B.0000-0002-2697-3893
Additional Information:© 2018 Seismological Society of America. Published Online 14 February 2018. The authors thank two anonymous reviewers and the guest editor for their valuable comments that greatly improved this article. The authors acknowledge the support of FONDECYT N° 1170430 to this study. Figures were made using Generic Mapping Tool (GMT) software (Wessel and Smith, 1998).
Group:Seismological Laboratory
Funding AgencyGrant Number
Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT)1170430
Issue or Number:2A
Record Number:CaltechAUTHORS:20180215-080824616
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Official Citation:F. Leyton, C. Pastén, S. Ruiz, B. Idini, F. Rojas; Empirical Site Classification of CSN Network Using Strong‐Motion Records. Seismological Research Letters ; 89 (2A): 512–518. doi:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84843
Deposited By: Tony Diaz
Deposited On:15 Feb 2018 22:45
Last Modified:15 Nov 2021 20:23

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