Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California

We propose a time‐evolving approach to conduct traveltime seismic tomography in the 1989 Mw 6.9 Loma Prieta earthquake and 2014 Mw 6.0 South Napa earthquake area, California. The recording period of the chosen seismic data between 1 January 1967 and the day before the 2014 South Napa earthquake is d...

Full description

Saved in:
Bibliographic Details
Main Authors: Tong, Ping, Yang, Dinghui, Li, Dongzhuo, Liu, Qinya
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/89838
http://hdl.handle.net/10220/46402
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-89838
record_format dspace
spelling sg-ntu-dr.10356-898382023-02-28T19:35:34Z Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California Tong, Ping Yang, Dinghui Li, Dongzhuo Liu, Qinya Asian School of the Environment School of Physical and Mathematical Sciences DRNTU::Science::Geology Seismic Tomography Geophysics We propose a time‐evolving approach to conduct traveltime seismic tomography in the 1989 Mw 6.9 Loma Prieta earthquake and 2014 Mw 6.0 South Napa earthquake area, California. The recording period of the chosen seismic data between 1 January 1967 and the day before the 2014 South Napa earthquake is divided into two time windows, separated by the 1989 Loma Prieta earthquake. In each time window the subsurface velocity structure is iteratively updated. Starting from the final model of the first time window, the velocity model has been successively improved throughout iterations in the second time window, indicating that the traveltime data of later time windows have provided extra information to refine the subsurface images. Strong heterogeneities are observed in the final P wave velocity model. Both of the two large earthquakes occurred at transition zones in between high VP and low VP anomalies. In all, this study shows the effectiveness of the time‐evolving seismic tomography method. Published version 2018-10-22T08:56:18Z 2019-12-06T17:34:38Z 2018-10-22T08:56:18Z 2019-12-06T17:34:38Z 2017 Journal Article Tong, P., Yang, D., Li, D., & Liu, Q. (2017). Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California. Geophysical Research Letters, 44(7), 3165-3175. 0094-8276 https://hdl.handle.net/10356/89838 http://hdl.handle.net/10220/46402 10.1002/2017GL072785 en Geophysical Research Letters © 2017 American Geophysical Union. This paper was published in Geophysical Research Letters and is made available as an electronic reprint (preprint) with permission of American Geophysical Union. The published version is available at: [http://dx.doi.org/10.1002/2017GL072785]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 11 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Geology
Seismic Tomography
Geophysics
spellingShingle DRNTU::Science::Geology
Seismic Tomography
Geophysics
Tong, Ping
Yang, Dinghui
Li, Dongzhuo
Liu, Qinya
Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California
description We propose a time‐evolving approach to conduct traveltime seismic tomography in the 1989 Mw 6.9 Loma Prieta earthquake and 2014 Mw 6.0 South Napa earthquake area, California. The recording period of the chosen seismic data between 1 January 1967 and the day before the 2014 South Napa earthquake is divided into two time windows, separated by the 1989 Loma Prieta earthquake. In each time window the subsurface velocity structure is iteratively updated. Starting from the final model of the first time window, the velocity model has been successively improved throughout iterations in the second time window, indicating that the traveltime data of later time windows have provided extra information to refine the subsurface images. Strong heterogeneities are observed in the final P wave velocity model. Both of the two large earthquakes occurred at transition zones in between high VP and low VP anomalies. In all, this study shows the effectiveness of the time‐evolving seismic tomography method.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Tong, Ping
Yang, Dinghui
Li, Dongzhuo
Liu, Qinya
format Article
author Tong, Ping
Yang, Dinghui
Li, Dongzhuo
Liu, Qinya
author_sort Tong, Ping
title Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California
title_short Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California
title_full Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California
title_fullStr Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California
title_full_unstemmed Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California
title_sort time-evolving seismic tomography: the method and its application to the 1989 loma prieta and 2014 south napa earthquake area, california
publishDate 2018
url https://hdl.handle.net/10356/89838
http://hdl.handle.net/10220/46402
_version_ 1759855885822197760