Vs30 Estimate for Southwest China
Several methods were used to estimate Vs30 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 r...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | International Journal of Geophysics |
| Online Access: | http://dx.doi.org/10.1155/2016/9305095 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832552371831439360 |
|---|---|
| author | Yan Yu Walter J. Silva Bob Darragh Xiaojun Li |
| author_facet | Yan Yu Walter J. Silva Bob Darragh Xiaojun Li |
| author_sort | Yan Yu |
| collection | DOAJ |
| description | Several methods were used to estimate Vs30 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 Vs30 for sites in Southwest China. This study showed Vs30 could be estimated by the time-average shear-wave velocity (average slowness) of only 10 meters of depth. Furthermore, a median Vs30 estimate based upon Geomatrix Classification is derived from the results of the gradient extrapolation using a regional calibration of the Geomatrix Classification with Vs30. The results of this study can be applied to assign Vs30 to the sites without borehole data in Southwest China. |
| format | Article |
| id | doaj-art-917942ac810d4249989a42981df481de |
| institution | Kabale University |
| issn | 1687-885X 1687-8868 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Geophysics |
| spelling | doaj-art-917942ac810d4249989a42981df481de2025-02-03T05:58:48ZengWileyInternational Journal of Geophysics1687-885X1687-88682016-01-01201610.1155/2016/93050959305095Vs30 Estimate for Southwest ChinaYan Yu0Walter J. Silva1Bob Darragh2Xiaojun Li3Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, ChinaPacific Engineering and Analysis, 856 Sea View Drive, El Cerrito, CA 94530, USAPacific Engineering and Analysis, 856 Sea View Drive, El Cerrito, CA 94530, USAInstitute of Geophysics, China Earthquake Administration, Beijing 100081, ChinaSeveral methods were used to estimate Vs30 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 Vs30 for sites in Southwest China. This study showed Vs30 could be estimated by the time-average shear-wave velocity (average slowness) of only 10 meters of depth. Furthermore, a median Vs30 estimate based upon Geomatrix Classification is derived from the results of the gradient extrapolation using a regional calibration of the Geomatrix Classification with Vs30. The results of this study can be applied to assign Vs30 to the sites without borehole data in Southwest China.http://dx.doi.org/10.1155/2016/9305095 |
| spellingShingle | Yan Yu Walter J. Silva Bob Darragh Xiaojun Li Vs30 Estimate for Southwest China International Journal of Geophysics |
| title | Vs30 Estimate for Southwest China |
| title_full | Vs30 Estimate for Southwest China |
| title_fullStr | Vs30 Estimate for Southwest China |
| title_full_unstemmed | Vs30 Estimate for Southwest China |
| title_short | Vs30 Estimate for Southwest China |
| title_sort | vs30 estimate for southwest china |
| url | http://dx.doi.org/10.1155/2016/9305095 |
| work_keys_str_mv | AT yanyu vs30estimateforsouthwestchina AT walterjsilva vs30estimateforsouthwestchina AT bobdarragh vs30estimateforsouthwestchina AT xiaojunli vs30estimateforsouthwestchina |