A first-layered crustal velocity model for the western Solomon Islands: Inversion of the measured group velocity of surface waves using ambient noise

Chin Shang Ku, Yue Gau Chen, Yih Min Wu, Yu Ting Kuo, Bor Shouh Huang, Wei-An Chao, Shuei Huei You, Frederick W. Taylor

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Two earthquakes, Mw 8.1 in 2007 and Mw 7.1 in 2010, hit the western province of the Solomon Islands and caused extensive damage, which motivated us to establish a temporary seismic network around the rupture zones of these earthquakes. With the available continuous seismic data recorded from eight seismic stations, we cross correlate the vertical component of ambient-noise records and calculate Rayleigh-wave group velocity dispersion curves for interstation pairs. A genetic algorithm is adopted to fit the averaged dispersion curve and invert a 1D crustal velocity model, which constitutes two layers (upper and lower crust) and a half-space (uppermost mantle). The resulting thickness values for the upper and lower crust are 6.9 and 13.5 km, respectively. The shear-wave velocities (VS) of the upper crust, lower crust, and uppermost mantle are 2.62, 3.54, and 4:10 km=s with VP=VS ratios of 1.745, 1.749, and 1.766, respectively. The differences between the predicted and observed travel times show that our 1D model (WSOLOCrust) has average 0.85- and 0.16-s improvements in travel-time residuals compared with the global iasp91 and local CRUST 1.0 models, respectively. This layered crustal velocity model for the western Solomon Islands can be further used as a referenced velocity model to locate earthquake and tremor sources as well as to perform 3D seismic tomography in this region. Electronic Supplement: Figures showing the misfit of inversion process and the comparison between observed and synthetics and the location of experiments in previous studies and tables listing information about the seismic network, parameters of the genetic algorithm (GA), information of earthquakes used in this study, and results obtained from different 1D models.

Original languageEnglish
Pages (from-to)2274-2283
Number of pages10
JournalSeismological Research Letters
Volume89
Issue number6
DOIs
StatePublished - 1 Nov 2018

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