V s 30 Estimate for Southwest China
Joint Authors
Yu, Yan
Silva, Walter J.
Darragh, Bob
Li, Xiaojun
Source
International Journal of Geophysics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Several methods were used to estimate V s 30 from site profiles with borehole depths of about 20 m for the strong-motion stations located in Southwest China.
The methods implemented include extrapolation (constant and gradient), Geomatrix Site Classification correlation with shear-wave velocity, and remote sensing (terrain and topography).
The gradient extrapolation is the preferred choice of this study for sites with shear-wave velocity profile data.
However, it is noted that the coefficients derived from the California data set are not applicable to sites in Southwest China.
Due to the scarcity of borehole profiles data with depth of more than 30 m in Southwest China, 73 Kiknet profiles were used to generate new coefficients for gradient extrapolation.
Fortunately, these coefficients provide a reasonable estimate of V s 30 for sites in Southwest China.
This study showed V s 30 could be estimated by the time-average shear-wave velocity (average slowness) of only 10 meters of depth.
Furthermore, a median V s 30 estimate based upon Geomatrix Classification is derived from the results of the gradient extrapolation using a regional calibration of the Geomatrix Classification with V s 30 .
The results of this study can be applied to assign V s 30 to the sites without borehole data in Southwest China.
American Psychological Association (APA)
Yu, Yan& Silva, Walter J.& Darragh, Bob& Li, Xiaojun. 2016. V s 30 Estimate for Southwest China. International Journal of Geophysics،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1106210
Modern Language Association (MLA)
Yu, Yan…[et al.]. V s 30 Estimate for Southwest China. International Journal of Geophysics No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1106210
American Medical Association (AMA)
Yu, Yan& Silva, Walter J.& Darragh, Bob& Li, Xiaojun. V s 30 Estimate for Southwest China. International Journal of Geophysics. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1106210
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106210