Crust and upper mantle structure of the South China Sea and adjacent areas from the joint inversion of ambient noise and earthquake surface wave dispersions

2021 ◽  
Author(s):  
Haopeng Chen ◽  
Zhiwei Li ◽  
Zhicai Luo ◽  
Adebayo Oluwaseun Ojo ◽  
Jun Xie ◽  
...  
Keyword(s):  
Surface Wave ◽  
South China Sea ◽  
South China ◽  
Upper Mantle ◽  
Ambient Noise ◽  
Joint Inversion ◽  
The South China Sea ◽  
Mantle Structure ◽  
Crust And Upper Mantle ◽  
Upper Mantle Structure

scholarly journals Supplemental Material: Crustal and upper mantle structure beneath the South China Sea and Indonesia

2020 ◽  
Author(s):  
V. Corchete
Keyword(s):  
South China Sea ◽  
Geographical Distribution ◽  
South China ◽  
Upper Mantle ◽  
The South China Sea ◽  
Mantle Structure ◽  
Inversion Process ◽  
The South ◽  
China Sea ◽  
Upper Mantle Structure

Figure S1: Geographical distribution of the 1-sigma errors arisen in computation of the S-velocities shown in Figure 3. The interval between isolines is 0.01 km/s; Figure S2. Resolution maps of the inversion process performed to calculate the S-velocities shown in Figure 3, plotted from 0 (not resolved) to 1 (perfect resolution). The interval between isolines is 0.1.

scholarly journals Supplemental Material: Crustal and upper mantle structure beneath the South China Sea and Indonesia

2020 ◽  
Author(s):  
V. Corchete
Keyword(s):  
South China Sea ◽  
Geographical Distribution ◽  
South China ◽  
Upper Mantle ◽  
The South China Sea ◽  
Mantle Structure ◽  
Inversion Process ◽  
The South ◽  
China Sea ◽  
Upper Mantle Structure

Figure S1: Geographical distribution of the 1-sigma errors arisen in computation of the S-velocities shown in Figure 3. The interval between isolines is 0.01 km/s; Figure S2. Resolution maps of the inversion process performed to calculate the S-velocities shown in Figure 3, plotted from 0 (not resolved) to 1 (perfect resolution). The interval between isolines is 0.1.

Crustal and upper mantle structure beneath the South China Sea and Indonesia

2020 ◽  
Vol 133 (1-2) ◽  
pp. 177-184
Author(s):  
V. Corchete
Keyword(s):  
South China Sea ◽  
Continental Margin ◽  
South China ◽  
Upper Mantle ◽  
Velocity Model ◽  
The South China Sea ◽  
Mantle Structure ◽  
The South ◽  
Crust And Upper Mantle ◽  
China Sea

Abstract A three-dimensional (3-D) S-velocity model for the crust and upper mantle beneath the South China Sea and Indonesia is presented, determined by means of Rayleigh wave analysis, in the depth range from 0 km to 400 km. The crustal and lithospheric mantle structure of this study area was previously investigated using several methods and databases. Due to their low resolution, a 3-D structure for this area has not been previously determined. The determination of such a 3-D S-velocity model is the goal of the present study. The most conspicuous features of the crust and upper mantle structure include the S-velocity difference between the Java Sea and the Banda Sea regions and a transitional boundary between these two regions. This model confirms the principal structural features revealed in previous studies: an oceanic crust structure in the center of the South China Sea, crustal thinning from the northern continental margin of the South China Sea to this oceanic crust, and the existence of a high-velocity layer in the lower crust of the northern continental margin. This study concludes that the north of the South China Sea is a nonvolcanic-type continental margin, solving the open question of whether the continental margin of the northern South China Sea is volcanic or nonvolcanic. A new map of the asthenosphere’s base is also presented.

Extracting higher-mode dispersion curves from ambient noise data by using F-J method to acquire more accurate crustal and upper-mantle structure for the east of South China

2020 ◽  
Author(s):  
Juqing Chen ◽  
Xiaofei Chen
Keyword(s):  
South China ◽  
Upper Mantle ◽  
Fundamental Mode ◽  
Ambient Noise ◽  
Dispersion Curves ◽  
Inversion Method ◽  
Mantle Structure ◽  
Higher Modes ◽  
Upper Mantle Structure ◽  
Noise Data

<p>It has been widely recognized that the cross-correlation function (CCF) of ambient noise data recorded at two seismic stations approximates to the part of Green’s Function between these two stations. Theoretically, the CCF should include the higher modes, apart from the fundamental mode. However, currently well-known and mature methods that can extract dispersion curves are not pretty proficient in extracting higher modes. Fortunately, our newly proposing method, the Frequency-Bessel Transform Method (F-J Method), has presented its obvious advantage in extracting higher modes. This study applied F-J method to seismic ambient noise data for the east of South China, including Jiangnan Orogen and South China Fold System. We have acquired higher modes, not to mention the fundamental mode with wider frequency than previous studies. Combining both fundamental mode and higher modes, we used L-BFGS inversion method to inverse and acquire more accurate crustal and upper-mantle structure than previous studies only adopting fundamental mode for the east of South China. As shown in this study for the east of South China, we can use F-J method  to conveniently and precisely extract multimodes from ambient noise data and thus add more constrains for inversion results, which can significantly improve the preciseness of imaging crustal and upper-mantle structure.</p>

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