Title: A new algorithm for three‐dimensional joint inversion of body wave and surface wave data and its application to the Southern California plate boundary region

Abstract

Abstract We introduce a new algorithm for joint inversion of body wave and surface wave data to get better 3‐D P wave ( V _p ) and S wave ( V _s ) velocity models by taking advantage of the complementary strengths of each data set. Our joint inversion algorithm uses a one‐step inversion of surface wave traveltime measurements at different periods for 3‐D V _s and V _p models without constructing the intermediate phase or group velocity maps. This allows a more straightforward modeling of surface wave traveltime data with the body wave arrival times. We take into consideration the sensitivity of surface wave data with respect to V _p in addition to its large sensitivity to V _s , which means both models are constrained by two different data types. The method is applied to determine 3‐D crustal V _p and V _s models using body wave and Rayleigh wave data in the Southern California plate boundary region, which has previously been studied with both double‐difference tomography method using body wave arrival times and ambient noise tomography method with Rayleigh and Lovemore » wave group velocity dispersion measurements. Our approach creates self‐consistent and unique models with no prominent gaps, with Rayleigh wave data resolving shallow and large‐scale features and body wave data constraining relatively deeper structures where their ray coverage is good. The velocity model from the joint inversion is consistent with local geological structures and produces better fits to observed seismic waveforms than the current Southern California Earthquake Center (SCEC) model.« less

Authors:

Fang, Hongjian ^[1]; Zhang, Haijiang ^[1]; Yao, Huajian ^[1]; Allam, Amir ^[2]; Zigone, Dimitri ^[3]; Ben‐Zion, Yehuda ^[4]; Thurber, Clifford ^[5]; van der Hilst, Robert D. ^[6]

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+ Show Author Affiliations

1. Laboratory of Seismology and Physics of Earth's Interior, School of Earth and Space Sciences University of Science and Technology of China Hefei China
2. Department of Earth Sciences University of Southern California Los Angeles California USA, Now at Geophysical Institute and Department of Geology and Geophysics University of Alaska Fairbanks Fairbanks Alaska USA
3. Department of Earth Sciences University of Southern California Los Angeles California USA, Now at Department of Meteorology and Geophysics University of Vienna Vienna Austria
4. Department of Earth Sciences University of Southern California Los Angeles California USA
5. Department of Geoscience University of Wisconsin‐Madison Madison Wisconsin USA
6. Department of Earth, Atmospheric, and Planetary Sciences Massachusetts Institute of Technology Cambridge Massachusetts USA

Publication Date:

Sat May 14 00:00:00 EDT 2016

Sponsoring Org.:

USDOE

OSTI Identifier:

1402237

Grant/Contract Number:  

NA0001523

Resource Type:

Publisher's Accepted Manuscript

Journal Name:

Journal of Geophysical Research. Solid Earth

Additional Journal Information:

Journal Name: Journal of Geophysical Research. Solid Earth Journal Volume: 121 Journal Issue: 5; Journal ID: ISSN 2169-9313

Publisher:

American Geophysical Union (AGU)

Country of Publication:

United States

Language:

English