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3-D Shear Wave Velocity Structure of the Crust and Upper Mantle in South China Sea and its Surrounding Regions by Surface Wave Dispersion Analysis

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3-D shear wave velocity structure of the crust and upper mantle

in South China Sea and its surrounding regions by surface wave

dispersion analysis

Hsin-Hung Wu

1

, Yi-Ben Tsai

1

, Tung-Yi Lee

2

, Ching-Hua Lo

3

, Chao-Hui Hsieh

4

and Dinh Van Toan

5

1

Institute of Geophysics, National Central University, Chung-Li, Taiwan (E-mail: wuhh@earth.ncu.edu.tw)

2

Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan

3

Department of Earth Sciences, National Taiwan University, Taipei 106-17, Taiwan

4

Department of Civil and Ecological Engineering, I-Shou University, Kaohsiung County 840, Taiwan

5

Institute of Geological Sciences, National Center for Natural Sciences and Technology, Hanoi, Vietnam

Received 8 August 2003; accepted 20 August 2004

Key words: 3-D shear wave velocity structure, constrained block inversion method

Abstract

In this study, we construct a 3-D shear wave velocity structure of the crust and upper mantle in South China Sea and its surround-ing regions by surface wave dispersion analysis. We use the multiple filter technique to calculate the group velocity dispersion curves of fundamental mode Rayleigh and Love waves with periods from 14 s to 120 s for earthquakes occurred around the South-east Asia. We divide the study region (80 E–140 E, 16 S–32 N) into 3 · 3 blocks and use the constrained block inversion method to get the regionalized dispersion curve for each block. At some chosen periods, we put together laterally the regionalized group velocities from different blocks at the same period to get group velocity image maps. These maps show that there is signifi-cant heterogeneity in the group velocity of the study region. The dispersion curve of each block was then processed by surface wave inversion method to obtain the shear wave velocity structure. Finally, we put the shear wave velocity structures of all the blocks together to obtain the three-dimensional shear wave velocity structure of crust and upper mantle. The three-dimensional shear wave velocity structure shows that the shear wave velocity distribution in the crust and upper mantle of the South China Sea and its surrounding regions displays significant heterogeneity. There are significant differences among the crustal thickness, the lithospheric thickness and the shear wave velocity of the lid in upper mantle of different structure units. This study shows that the South China Sea Basin, southeast Sulu Sea Basin and Celebes Sea Basin have thinner crust. The thickness of crust in South China Sea Basin is 5–10 km; in Indochina is 25–40 km; in Peninsular Malaysia is 30–35 km; in Borneo is 30–35 km; in Palawan is 35 km; in the Philippine Islands is 30–35 km, in Sunda Shelf is 30–35 km, in Southeast China is 30–40 km, in West Philippine Basin is 5– 10 km. The South China Sea Basin has a lithosphere with thickness of about 45–50 km, and the shear wave velocity of its lid is about 4.3–4.7 km/s; Indochina has a lithosphere with thickness of about 55–70 km, and the shear wave velocity of its lid is about 4.3–4.5 km/s; Borneo has a lithosphere with thickness of about 55–60 km, and the shear wave velocity of its lid is about 4.1– 4.3 km/s; the Philippine Islands has a lithosphere with thickness of about 55–60 km, and the shear wave velocity of its lid is about 4.2–4.3 km/s, West Philippine Basin has a lithosphere with thickness of about 50–55 km, and the shear wave velocity of its lid is about 4.7–4.8 km/s, Sunda Self has a lithosphere with thickness of about 55–65 km, and the shear wave velocity of its lid is about 4.3 km/s. The Red-River Fault Zone probably penetrates to a depth of at least 200 km and is plausibly the boundary between the South China Block and the Indosinia Block.

Introduction

The South China Sea and its surrounding regions are complex geologically and tectonically (Figure 1). This region is under the interactions of the Eurasian Plate, Philippine Sea Plate, Paci-fic Plate and Indo-Australian Plate. A 3-D shear wave velocity structure in the crust and upper

mantle is important for understanding the tecton-ics of this region.

The South China Sea is one of the marginal seas of the West Pacific. It can be divided into three parts, the northern continental margin, the South China Sea Basin, and the southern conti-nental margin. The South China Sea Basin is oce-anic in nature and is bounded by the Sunda Shelf

Marine Geophysical Researches (2004) 25:5–27  Springer 2005

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and northwest Borneo-Palawan Shelf in the south, by Luzon and Taiwan in the east, and by mainland Asia in the west and north. The South China Sea Basin can be subdivided geographically into the central sub-basin, the northwest sub-basin and the southwest sub-basin. The con-spicuous (and unique) features of the basin are the broad, gently inclined side slopes off the Asian and Sunda shelves, the Palawan trough, and the Manila Trench (Ludwig et al., 1979). The South China Sea Basin was formed by seafloor spreading during 32–17 Ma (chron 11-5d) (Taylor and Hayes, 1980, 1983; Briais et al., 1993). Before the seafloor spreading of the South China Sea Basin, its northern continental margin was under tension. The onset of rifting of this proto-China margin was during the latest Cretaceous to Paleo-cene. In the southern continental margin, Reed Bank, Dangerous Ground, Mindoro and north Palawan are originally derived from the continen-tal margin of South China. They are moved southeastwards to the present positions by the seafloor spreading of the South China Sea Basin.

The Red-River Fault Shear Zone is a conspic-uous geological feature in our study region. It has been a major mid-Tertiary left-lateral fault boundary between South China and Indochina and has been undergone about 500–600 km of left-lateral motion during the opening of the South China Sea. The seafloor spreading of the South China Sea has been explained as an extru-sion of Indochina relative to South China along this shear zone (Briais et al., 1993).

The crust of South China Sea Basin is oceanic in nature (Ludwig, 1970). Murauchi et al. (1973) showed that the crusts of southeast Sulu Sea Basin and of Celebes Sea Basin are also oceanic. Ludwig et al. (1979) measured the depth to the mantle at some profiles in the South China Sea Basin by using sonobuoy data. In the northern part of South China Sea, seismic profiles show that the crustal thickness thins from the conti-nental shelf to deep sea (Nissen et al., 1995a; Schlu¨ter et al.,1996; Kido et al., 2001; Qiu et al., 2001; Yan et al., 2001). For the whole area, the crustal thickness is calculated or conjectured

Figure 1. Topographic map of the South China Sea and its surrounding regions (contour interval at 2000 m).NWB: Northwest Sub-basin, SWB: Southwest sub-basin, Y.B.: Yingge Basin, M.: Mindoro, E.L.T.: East Luzon Trough, MIN: Mindanao, H.I.A.: Hamahera Island Arc, S.I.A.: Sangihe Island Arc.

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mainly from gravity data (Liu et al., 1985; Chen and Lei, 1987) and sonobuoy data (Ludwig et al., 1979; Taylor and Hayes, 1983). Li and Mooney (1998) summarized the results of deep seismic sounding and gave the distribution map of crus-tal thickness in China. Cao et al. (2001) adopted surface waveform inversion with an equal block (2 · 2) discretization in order to acquire the images of shear wave velocity structure at differ-ent depth (from surface to 430 km) in the crust and upper mantle of the South China Sea and its surrounding region. Their results show significant difference in velocity, lithosphere and astheno-sphere structure between South China Sea and its adjacent regions.

In this study, we present a 3-D shear wave velocity structure in the crust and upper mantle of the South China Sea and its surrounding region (from surface to 200 km). Relative to the study of Cao et al. (2001), we use more ray paths in the study region to have a better coverage. For that we have especially installed two broadband sta-tions in northern Vietnam. We use the group velocity dispersion characteristics of the funda-mental mode Rayleigh and Love waves with peri-ods from 14 s to 120 s. We also used one station multiple filter technique to calculate the group velocity dispersion curves. Constrained block inversion method is used to get regionalized group

velocities for each block such that we can get a smoother velocity model. Then, surface wave dispersion inversion is used to calculate 1-D shear wave velocity structure of each block. A 3-D shear wave velocity model is obtained by putting these 1-D models together laterally. This 3-D shear wave velocity structure will shed light on the tec-tonic structures of the Southeast Asia region.

Data and method Data

The seismic surface wave data used in this study come from two sources: one is recorded by two broadband stations installed in North Vietnam by the Institute of Geophysics, National Central University, Taiwan; the other is recorded by the long-period seismographic stations of IRIS (Incorporated Research Institute for Seismology) (Figure 2). The seismic surface wave data were generated by events occurred around Southeast Asia (Figure 2). We extracted and analyzed the minor-arc surface waves. Because the minor-arc surface waves cover most of our target region, the interferences caused by the structures out of our target can be minimized. Locations of the 1252 events used in this study is shown in

Figure 2. Locations of seismographic stations (triangle) and epicentral distribution of earthquakes (dots). For IRIS stations (KMI, TATO, QIZ, CHTO, DAV, LEM), the earthquakes span the years from 1982 to 2000; for broadband stations (BACG, VINH) in Vietnam, the earthquakes span the years from 1999 to 2002.

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Figure 2. Only the seismograms generated by earthquakes at depths shallower than 100 km were used, because the records of deeper events contains the higher modes which might contami-nate fundamental modes.

Group velocity determination by multiple filter technique

We use the single station method to calculate the group velocities of the fundamental mode surface Rayleigh and Love waves by the Multiple Filter Technique (Dziewonski, 1969; Herrmann, 1973). We are able to obtain large amount of data by using single station method in order to have enough data for seismic tomography. The seis-mograms of three components at each station were deconvolved by the instrumental response to correct the instrumental delay and filtered in the frequency range from 0.008 to 0.1 Hz. Then, the seismogram of vertical component is used to calculate the group velocity dispersion curve of fundamental mode Rayleigh wave. Both the seis-mograms of E–W and N–S components are rotated to obtain the transverse and radial ponents. The seismogram of the transverse com-ponent is then used to calculate the group velocity dispersion curve of fundamental mode Love wave. Examples are shown in Figure 3. Group velocity mapping with tomographic technique

To study lateral heterogeneities of velocity struc-ture in the crust and upper mantle of South China Sea region, the obtained group velocity dispersion curves are used to invert the group velocity distribution maps for different periods using 2-D tomographic technique. The block parameterization is adopted and each block size is 3 · 3. This block inversion method used to calculate the regionalized group velocity in each block is based on the pure-path method (Knopoff, 1969), which is fundamental in the investigation of lateral variations of Earth struc-ture by using seismic surface waves. It assumes that the seismic surface waves propagate along a great-circle path from seismic source to the seis-mographic station and each of the different struc-ture units (blocks) along the path is homogeneous, and it neglects the refraction of

seismic surface waves on every boundary between any two different structure units along the path. Thus, the travel time of seismic surface wave from source to the seismographic station is equal to the sum of travel times which the seismic surface wave propagate through each of the different structure units along the path from source to the recording station. It can be expressed as

tiðT Þ ¼ Li V0i ¼X N j¼1 Lij VjðT Þ ; ð3:1Þ

where tiðT Þ is the observed travel time for the ith

wave path at period T, Li is the epicentral

dis-tance for the ith wave path, i¼ 1; 2; . . . ; M, V0i is

the observed group velocity for the ith wave path at period T, Lij is the distance traveled by the ith

wave path within the jth block, VjðT Þ is the

regionalized group velocity in the jth block at period T, N is the total number of blocks in the study region, M is the total number of ray paths.

In this study we divided the study region (80 E–140 E, 16 S–32 N) into N blocks (Figure 4, N¼ 242) and have M ray paths (Fig-ure 5, M¼ 1184–2385) to cover these blocks. For each of the ray paths, i.e. the ith ray path, we calculate the group velocity V0i, the epicentral

distance Liand the distance Lij within each of the

blocks traversed by this ray path. From these data, we used the block inversion method to be described below to calculate the regionalized group velocity at period T for each of the blocks. Thus, we can get the regionalized dispersion curve for each of the blocks in our study region.

Equation (3.1) is a linear inversion problem, it can be expressed in matrix form as

Ax¼ b; where A¼ L11 L12    L1N L21 L22    L2N             LM1 LM2    LMN 2 6 6 6 4 3 7 7 7 5: ð3:2Þ

Matrix A is the kernel matrix. Its elements are the distances within each of the blocks traversed by each of the ray paths. If there are M ði ¼ 1; 2; . . . ; MÞ ray paths and N ðj ¼ 1; 2; . . . ; N Þ blocks, then the order of A is M N .

Vector b consists of the observed travel time for each of the ray paths and is given by

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b¼ t1ðT Þ t2ðT Þ    tMðT Þ 2 6 6 4 3 7 7 5 ¼ L1=Vo1ðT Þ L2=Vo2ðT Þ    LM=VoMðT Þ 2 6 6 4 3 7 7 5:

Vector x consists of the reciprocal of regionalized group velocity or slowness of each of the

blocks and is called the slowness vector and is given by x¼ 1 V1ðT Þ 1 V2ðT Þ    1 VNðT Þ 2 6 6 6 4 3 7 7 7 5:

Figure 3. (a) Group velocity dispersion curve of Rayleigh wave obtained by using the multiple filter technique (MFT) for station BACG. Trace with circles shows group velocities chosen at different periods. They are maximums of the energy contours. Left column shows group velocity, right column shows travel time. (b) Group velocity dispersion curve of Love wave obtained by the multiple filter technique for station BACG. Others are the same as in (a).

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To solve Equation (3.2) and get a smooth model, we used the constrained linear inversion method. That is, the smoothness or roughness inversion method (Twomey, 1977; Constable et al., 1987) and simple spatial smoothness constraints, which involves 2-D Laplacian, are introduced in this study by assuming that the slowness of each of the blocks is correlated to that of its surrounding eight blocks. We also assume that each central block has a weight of 5, and each of the blocks located to the north, south, west and east of the central block has weight of 1 and each of the blocks located to the northwest, northeast, south-west and southeast of the central block has weight of 0.25. Then the relationship can be expressed as follows:

 mði  1;jÞ  mði;j 1Þ 0:25mði  1;j 1Þ  0:25mði þ 1;j  1Þþ 5mði;jÞ  mði þ 1;jÞ  mði;j þ 1Þ  0:25mði  1;j þ 1Þ

 0:25mði þ 1;j þ 1Þ ¼ 0;

ð3:3Þ

where mði; jÞ is the slowness of a central block, mði  1; jÞ, mði þ 1; jÞ, mði; j  1Þ, and mði; j þ 1Þ are slownesses of blocks located to the north, south, west and east of the central block,

respec-tively, mði  1; j  1Þ, mði  1; j þ 1Þ, mði þ 1; j 1Þ, and mði þ 1; j þ 1Þ are slownesses of blocks located to the northwest, northeast, southwest and southeast of the central block, respectively.

By choosing each of the N blocks in the study region as a central block, we get a corresponding equation as (3.3), thus we get a system of N equations. It can be expressed in matrix form as Dx¼ 0, where D is a matrix made up of the coefficients of the system of N equations, and is called the roughness matrix, and x is the slow-ness vector as defined before. Dx is called the roughness of the solution of Equation (3.2), and the length of the roughness is given by:

L¼ ðDxÞTðDxÞ ¼ xTDTDx; ð3:4Þ

where ðDxÞT; xT; DT are transposes of matrices

Dx, x, and D, respectively.

Then, we used Lagrangian multiplier, k2, to form the function U,

U¼ E þ k2L¼ eTeþ k2ðxTDTDxÞ; ð3:5Þ

where ei¼ tobsi  t pre

i , it is the difference between

the observed and the predicted travel time, matrix e¼ ðe1; e2; . . . ; eNÞ and eT is the

trans-pose of e, and E¼PMi¼1e2i, it is the sum of

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squared prediction errors. Then, we try to min-imize U to get the estimate of the slowness vector, x. This is a constrained linear inversion, and the estimate xestof the slowness vector x is

given by:

xest¼ ðATAþ k2DT1

ATb

 Agb; ð3:6Þ

where Ag ¼ ðATAþ k2DT1AT is called

gener-alized inverse matrix and is solved by SVD (Sin-gular Value Decomposition) (Menke, 1984). The Lagrangian Multiplier, k2, is used to constrain the relative importance of E and L in the deter-mination of xest.

The resolution matrix R and the covariance matrix C are given as follows:

R¼ AgA¼ ðATAþ k2DT1 ATA; ð3:7Þ C¼ AgðAgÞT ¼ ðATAþ k2DT1 ATAðATAþ k2DT1 : ð3:8Þ The standard deviation of the estimate of slow-ness, rs, can be calculated by (Ewing and

Mitch-ell, 1970) ðrsÞi¼ E M NCii  1=2 ; ð3:9Þ

where i represents the ith block, Ciiis the ith

ele-ment of the main diagonal of C, E is the sum of squares of the prediction errors, M the total

Figure 5. The distribution of ray paths for different period (T) of Rayleigh wave, the number of total ray paths is shown in lower-left corner.

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number of observations, and N is the number of total blocks. We can calculate the standard devi-ation of the regionalized group velocity, rv, from

the standard deviation of the slowness, rs,

(Nishimura and Forsyth, 1985) as

ðrvÞi¼

ðrsÞi

ðxestÞ2

" #1=2

; ð3:10Þ

where i represents the ith block.

In Equation (3.5), the damping parameter, k2, decide the trade-off between the length of error, E, and the length of roughness, L. In this study, we take k2 ¼ TrðATAÞ=TrðDTDÞ as the initial

value. Then, we require that the root mean square of prediction error is not too large, the standard deviation of the solution of slowness vector is small, and the resolution matrix is sta-ble. Finally, we check whether the estimate of slowness vector is reasonable in order to set k2 to a proper value.

The resolution of the estimate of slowness vector is interpreted by the resolution matrix R through the relation xest¼ Rxtrue,where xtrue is the

true slowness vector. If R is an identity matrix of order N, then the estimate of slowness can com-pletely resolve the true slowness vector. A good resolution is that the element in R corresponding to the chosen block has largest value and ele-ments corresponding to blocks adjacent to the chosen block have nonzero values and all other elements have zero values.

Because the number of model parameter is large, it is not easy to show the resolution matrix for all the blocks in a figure. So, we use the resolving length to show the resolution of the estimate of our slowness vector (Figure 6). The resolving length for the ith block, Ji, is given by

(Liu et al., 1990) as Ji¼ Xn k¼1 sik jsij  2 Wik; ð3:11Þ

where i means the ith block, jsij is the length of

the ith row of resolution matrix, sik is the ikth

element of the resolution matrix, and Wik is the

distance between the centers of ith and kth block. When the resolution matrix is nearer to the identity matrix, each Ji is smaller, then the

resolution of each block is better. In this study,

the size of each block is 3 · 3, thus, if the resolving length of a block is smaller than 330 km, this means that the contamination on this block from other blocks is small, that is the result of this block can resolve itself, then the resolution of this block is good. The smaller the resolving length, the better the reso-lution of the block.

In this study, we divided the study area (80 E–140 E, 16 S–32 N) into 242 blocks each with an area of 3 · 3 as shown in Fig-ure 4. Then we used the data set of the above calculated group velocity dispersion curves of fundamental mode Rayleigh and Love waves and the block inversion method described above to find the regionalized group velocity dispersion curve for each of the blocks.

Calculation of shear wave velocity structure The group velocity dispersion curve for each block obtained above was inverted following the method of Herrmann (1991) for 1-D seismic shear wave velocity structure where a laterally homogeneous structure is assumed for each block. This inversion was operated for each block independently from one another. These 1-D structures obtained for every block were arranged laterally. This arranged 1-D structures can be regarded as a 3-D structure in the South China Sea and its surrounding region.

The relationship between the surface wave group velocity dispersion and the shear wave velocity structure of the crust and upper mantle is nonlinear. In order to invert the dispersion curve to get the shear wave velocity structure, we need to have a reasonable initial model. We can express the relationship by Herrmann (1991)

Ui¼ ViðM0Þ þ X j @Vi @Mj     M0 DMj 1 A þ higher-order terms; ð4:1Þ where Ui is the observation of group velocity at

ith period, M0 is the initial shear wave velocity

model, ViðM0Þ is the calculated group velocity

with respect to the initial model at ith period.,

@Vi @Mj   M 0

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at ith period to the jth model parameter and it is calculated with respect to the initial model M0,

and DMj is the amount of change in the jth

model parameter.

If the initial model approaches the real struc-ture, the higher-order terms can be neglected. Thus, we can get

DUi¼ Ui ViðM0Þ ¼ X j @Vi @Mj      M0 DMj ! ;

where DUi is the difference between the observed

group velocity and the calculated group velocity and DMjis the amount of change in the jth model

parameter. DUiand DMjhas linear relationship. If

we have observations of group velocity in N peri-ods and there are L model parameters, then we have a system of N equations, which is expressed in matrix form as @V1 @M1 @V1 @M2    @V1 @ML @V2 @M1 @V2 @M2    @V2 @ML .. . .. . .. . .. . @VN @M1 @VN @M2    @VN @ML 2 6 6 6 6 4 3 7 7 7 7 5 Mo DM1 DM2 .. . DML 2 6 6 6 4 3 7 7 7 5           ¼ DU1 DU2 .. . DUN 2 6 6 6 4 3 7 7 7 5: ð4:2Þ The system of equation above can also be expressed in matrix form as P DM ¼ DU . Where P matrix is made of the partial derivatives of group velocity to the model parameter, the calculation is done by using the algorithm of Rodi et al. (1975). DM is a column vector of variations of the shear wave velocity model and DU is a column vector of differences in observed and calculated group velocities. From this equation, we can start a linear iteration to progressively modify the initial model to get the final model. In this

Figure 6. The resolution length (km) for regionalized group velocity of Rayleigh waves at different periods (T).

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inversion, we use the constrained linear inversion method (Constable et al., 1987) in order to mini-mize the side effect of initial model on the final model.

In order to minimize the influence of the initial model on the resulting model, we use a homoge-neous initial model with shear wave velocity of 4.3 km/s for every layer in the model. This initial model has a half space and above which there are 49 layers within 350 km for inverting data of Rayleigh and Love waves together.

Taking into account the effect of sea water on the final structure of a block, we fix a water layer for the initial model with a layer thickness according to the average of bathymetries within the block when this is necessary for that block.

From the above 3-D shear wave velocity struc-ture, we construct the lateral variation of crustal thickness in the South China Sea and its surround-ing regions by assumsurround-ing 3.95 km/s as the Sn

veloc-ity in order to find the thickness of crust for each block. The thickness of the surface water layer is excluded. We also tried 4.00 km/s and 4.05 km/s for Snvelocity respectively, but we find that we get

more reasonable solution for Sn¼ 3.95 km/s. The

Moho is typically defined as the horizon below which P wave velocities are larger than 7.6 km/s (Steinhart, 1967). Low Pnvelocities (7.6–7.8 km/s)

are usually restricted to region of thin (<35 km) crust with moderate to high heat flow, and high Pn

velocities correlate with thicker crust (>40 km) with low heat flow (i.e. stable continental interior).

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So, in this study, we take Sn¼ 3.95 km/s to define

the crustal thickness.

We also construct a distribution of the thick-ness of lithospheres in the South China Sea and surrounding regions. We assume the bottom of the lithosphere has the maximum shear wave velocity in the upper mantle. Then, we find the depth where this maximum shear wave velocity occurred. The depth found is taken as the thick-ness of this lithosphere. The thickthick-ness thus obtained is less than it should be, because it is plausible for the bottom of a lithosphere to locate at the depth where the shear wave velocity decreases most rapidly with depth (Cao et al., 2001).

Results

Figure 4 shows the distribution of 3 · 3 blocks used. Figure 5 shows the path coverage of the tomographic analysis for Rayleigh wave. Since the paths of propagation cover most of the South China Sea region, our results are expected to have good resolution in the South China Sea and its surrounding regions. Figures 6a–f show the distribution of resolving length of our tomo-graphic analysis for Rayleigh wave at the period of 14, 22, 40, 80, 100, and 120 s, respectively. Most of the target area has resolving length less than 330 km, so most of the target region have good resolution, especially in the South China

Figure 8. The distribution of group velocity of fundamental mode Love wave at different periods (T).

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Sea Basin, Indochina, Borneo, Sulu Sea Basin, Celebes Sea Basin, the Philippine Islands and the Molucca Sea.

Figures 7a–d show the group velocity distri-bution of the Rayleigh waves at the periods of 16, 40, 80 and 100 s, respectively.

Figure 7a shows the group velocity distribu-tion of the Rayleigh wave for the period of 16 s. In this map, higher group velocity shows up in the South China Sea Basin, in West Philippine Sea Plate, in southeastern Sulu Sea Basin, in Molucca

Sea, in the area of southern Thailand, northern part of the Gulf of Thailand and the northeastern part of Andaman Sea, and in the Sunda Shelf to the north of Java. Lower group velocity shows up in the northeastern part of Borneo, in the Pala-wan Trough and Sunda Shelf, in the Gulf of Tonkin, in western and southern Sulawesi and in the Philippine Island, and in Okinawa Trough.

Figure 7b shows the group velocity distribu-tion map of Rayleigh wave for the period of 40 s. Higher group velocity shows up in the

Figure 9. Distribution of shear wave velocity at different depths. Shear wave velocity is obtained by inverting regionalized group velocity of fundamental mode Rayleigh and Love waves together.

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South China Sea Basin, in Luzon, in the West Philippine Sea Plate, in Eastmal (eastern Peninsu-lar Malaysia ) and Sunda Shelf, in the area to the northeast of Red River Fault Zone in north Vietnam, in Celebes Sea Basin, also in the south-western part of Thailand. Lower group velocity shows up in eastern Borneo, in Palawan Trough, in northwest Sulu Sea Basin, in central Philippine Islands, in Burma.

Figure 7c shows the group velocity distribu-tion map of Rayleigh wave for the period of 80 s. Higher group velocity shows up in the South China Sea Basin, in Luzon, in the West Philippine Sea Plate, in Celebes Sea Basin, in the northern arm of Sulawesi, in Molucca Sea, in west Borneo, in Sunda Shelf to the west of Natuna, in central Thailand, in the area to the north of Red River Fault Zone in north Vietnam. Lower group velocity shows up in northeastern Borneo, in Palawan Trough, in northwest Sulu Sea Basin, in central Philippine Islands, in the Gulf of Tonkin and Hainan, and in northern Burma.

Figure 7d shows the group velocity distribu-tion map of Rayleigh wave for the period of 100 s. Higher group velocity shows up in the South China Sea Basin, in Luzon, in West Phillipine Sea Plate, in most part of Indochina, in the area of China to the north of Red River Fault zone in Vietnam, in southeastern Celebes Sea Basin, in the northern arm of Sulawesi and in the Molucca Sea. Lower group velocity shows up in the northeastern part of Borneo and the Palawan Trough, in Sulu Sea basin, in northern and southern margin of South China Sea, and in central Philippine Islands.

Figures 8a–d show the group velocity distri-bution of the Love waves at the periods of 20, 40, 80 and 100 s, respectively. Figure 8a shows the group velocity distribution of the Love wave for the period of 20 s. In this map, higher group velocity shows up in the South China Sea Basin, in West Philippine Sea Plate, in the Celebes Sea Basin, in the southeastern part of Sulu Sea Basin, in most area of Indochina, in the area of China to the northeast of Red-River Fault Zone in Vietnam. Lower group velocity shows up in the area from Taiwan to the Philippine Island, in the northeastern part of Borneo and in the Palawan Trough, in Yingge Depression Basin located to the south of Hainan and in northern Sumatra.

Figure 8b shows the group velocity distribu-tion map of Love wave for the period of 40 s. Higher group velocity shows up in the South China Sea Basin, in northern Luzon, in the West Philippine Sea Plate, in the southeastern part of Sulu Sea Basin, in Celebes Sea Basin, in the area to the northeast of Red-River Fault Zone in north Vietnam, also in most of Indochina, Lower group velocity shows up in most of Borneo, in Palawan Trough, in central Philippine Islands, in the northern part of Burma and in northern Sumatra. Figure 8c shows the group velocity distribu-tion map of Love wave for the period of 80 s. Higher group velocity shows up in the South China Sea Basin, in northern Luzon, in the West Philippine Sea Plate, in Celebes Sea Basin, in most of Indochina, in the area to the northeast of Red River Fault Zone in Vietnam. Lower group velocity shows up in central Philippine Island, in the southern margin of the South China Sea, in Palawan, in Sulu Sea Basin, in eastern Borneo, in the Gulf of Tonkin of Vietnam, and in northern Burma.

Figure 8d shows the group velocity distribu-tion map of Love wave for the period of 100 s. Higher group velocity shows up in the South China Sea Basin, in Luzon, in West Phillipine Sea Plate, in most part of Indochina, in the area to the northeast of Red River Fault zone in Viet-nam, in most of Indochina, in Celebes sea Basin, in Palawan Trough and in the northwestern part of Borneo. Lower group velocity shows up in cen-tral Philippine Island, in Palawan, in Reed Bank, in northwest Sulu Sea Basin, in eastern Borneo, in northwest Sumatra, and in northern Burma.

Figures 9a–f show the distribution of the shear wave velocity at the depth of 20, 30, 60, 85, 120, and 200 km, respectively. These distribu-tions are obtained by inverting the regionalized group velocity dispersion curves of the funda-mental mode Rayleigh and Love waves together.

Figure 9a shows the distribution of the shear wave velocity at the depth of 20 km. The regions with higher shear wave velocity are the South China Sea Basin, the West Philippine Sea Plate, the southeastern part of Sulu Sea Basin , the Celebes Sea Basin, the area to the northeastern side of Red River Fault Zone. The regions with lower shear wave velocity are the Central Philip-pine Island, the Palawan Trough, the east Bor-neo and southeast of BorBor-neo, the northwestern 17

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Sumatra, the Molucca Sea, the northern Burma, and the Okinawa Trough.

Figure 9b shows the distribution of the shear wave velocity at the depth of 30 km. The regions with higher shear wave velocity are the South

China Sea Basin, the West Philippine Sea Plate, the northern Luzon and the area offshore to the northeast of Luzon, the Celebes Sea Basin, the area to the northeastern side of Red River Fault Zone in Vietnam, the northern part of the Gulf

Figure 10. Vertical profiles for shear wave velocities of Figure 9 at different latitudes and longitudes. The locations of profiles are shown in Figure 9a. The abbreviations used are as follows: B.: Burma, G.B.: Gulf of Bacbo (Gulf of tonkin), H.: Hainan, S.C.B.: South China Sea Basin, L.: Luzon, W.P.B.: West Philippine Sea Basin, A.B.: Andaman Basin, P.I.: Philippine Islands, S.S.: Sunda Shelf, SE Chian: Southeast China, P.: Palawan Trough, RB: Reed Bank, E. Borneo: East Borneo.

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of Thailand, and part of northwestern Borneo. The regions with lower shear wave velocity are the Molucca Sea, the northern part of Burma, the Okinawa Trough, most of Indochina,

the Philippine Islands, the Palawan, the Sulu Sea Basin, the Palawan Trough, eastern Borneo, and the northwestern Sumatra.

Figure 9c shows the distribution of the shear wave velocity at the depth of 60 km. The regions with higher shear wave velocity are the South China Sea Basin, northern Luzon and the area offshore to the northeast of Luzon, the West Philippine Sea Plate, the Molucca Sea, Sulawesi, Thailand, the area in south China and north Vietnam to the northeastern side of Red-River Fault Zone in Vietnam. The regions with lower shear wave velocity are the Palawan, the north-west Sulu Sea Basin, eastern Borneo and the northern Burma.

Figure 9d shows the distribution of the shear wave velocity at the depth of 85 km. The regions with higher shear wave velocity are the central South China Sea Basin, northern Luzon and the area offshore to the northeast of Luzon, the West Philippine Sea Plate, the Central Indochina, in the area of northern Vietnam and southern China to the northeastern side of the Red River Fault Zone in Vietnam, northwestern Sumatra, Natuna, Sulawesi, the Palawan Trough and the northwestern and western Borneo. The regions with lower shear wave velocity are the Central Philippine Islands, the Palawan, Reed Bank, the northwestern of Sulu Sea Basin, eastern Borneo and the northern Burma.

Figure 9e shows the distribution of the shear wave velocity at the depth of 120 km. The regions with higher shear wave velocity are Luzon and the area offshore to northeast of Luzon, Central Thailand, the area in south China and northern Vietnam to the northeastern side of Red River Fault Zone in Vietnam, the South China Sea Basin, the Celebes Sea Basin, the Molucca Sea and the northern arm of Sulaw-esi, and the West Philippine Sea Plate. The regions with lower shear wave velocity are the Central Philippine Islands, the northern Burma, the southern margin of the South China Sea Basin, the Gulf of Tonkin of Vietnam and Hainan, the Palawan, Reed Bank, the Sulu Sea Basin, eastern Borneo, the Gulf of Thailand and the Andaman Sea, and Sumatra.

Figure 9f shows the distribution of the shear wave velocity at the depth of 200 km. The regions with higher shear wave velocity are the South China sea Basin, the West Philippine Sea

Thickness of crust (km, Vs = 3.95 km/sec)

Figure 11. Contour lines of the thickness of crust (km) in the South China Sea and its surrounding regions. We take 3.95 km/s as velocity of Sn.

Thickness of Lithosphere (km)

Figure 12. Contour lines of the thickness of lithosphere (km) in the South China Sea and its surrounding regions. We take the depth where velocity of lid occurs as the thickness of lithosphere.

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Plate, the area in south China and north Vietnam to the northeastern side of Red River Fault Zone in Vietnam, the area from southern Burma down southeastwards to Indochina and then to Natuna and western Borneo, the southeastern part of the Sulu Sea Basin, the Celebes Sea Basin, Molucca Sea and Sulawesi. The regions with lower shear wave velocity are the Central Philippine Islands, the Palawan, Reed Bank, the northwestern part of the Sulu Sea Basin, eastern Borneo, the north-ern Burma, and the Sumatra.

Figures 10a–f are the vertical profiles of shear wave velocity of the crust and upper mantle in South China Sea and its surrounding regions along attitudes 18.5 N, 15.5 N, and 12.5 N, and along longitudes 111.5 E, 114.5 E, and 117.5 E, respectively. The locations of these pro-files are shown in Figure 9a with labels 1, 2, 3, 4, 5 and 6, respectively. Shear wave velocities are obtained by inverting the regionalized group velocity dispersion curves of fundamental mode Rayleigh and Love waves together.

From these profiles, it is observed that there are significant lateral variations in the shear wave velocity structure, and these variations persists at least down to 200 km depth. Lateral variations of the crustal thickness and the lithospheric thickness are obvious. The shear wave velocity beneath the South China Sea Basin is higher than that of its adjacent region, but is lower than that of the West Philippine Basin. There are significant low-veloc-ity zones of shear wave veloclow-veloc-ity in the upper man-tle beneath the Gulf of Tonkin (Gulf of Bacbao), beneath northern Palawan, and beneath Borneo.

In Figure 11, the contour lines show lateral variations of the crustal thickness of the South

China Sea and its surrounding region. It shows that the crustal thickness of the northern South China Sea changes northwestward gradually from about 5 km at the central basin to about 30 km onshore of South China, and the crustal thickness of the southern South China Sea also increases steadily southeastward from about 5 km at the central basin to about 25 km at Palawan. We also observed that in the northern margin of South China Sea, the crustal structure beneath the western and eastern parts are very different. In South China, the crustal thickness increases westwards. It is about 30 km in the east coast and increases to about 65 km in eastern Tibet, closely similar to our previous finding (Tsai and Wu, 2000). In Indochina, at the coast of Vietnam, it is about 25 km, and increases northwestwards to about 40 km. In the Philippine Islands, Borneo, and Peninsular Malaysia, the crustal thickness is about 30– 35 km.

Figure 12 shows the distribution of thickness of the lithosphere in our study region. The lithospheric thickness in the South China Sea Basin is about 45–50 km; in the West Philippine Basin is about 50–55 km; in the Philippine Islands is about 55–60 km; in Borneo is 55– 65 km; in Sunda Shelf is about 55–65 km; in Indochina is about 55–70 km; in South China is about 60–95 km. These results are summarized in Table 1.

From the corresponding contour lines of Fig-ure 10, we estimate the shear wave velocity of the lid in upper mantle. We take the maximum shear wave velocity in the upper mantle as the lid. The results are shown in Table 1.

Table 1. The thickness of crust, the shear wave velocity of the lid of upper mantle and the thick-ness of lithosphere.

Thickness of crust (km)

Shear wave velocity of lid (km/s)

Thickness of lithosphere (km)

South China Sea Basin 5–10 4.3–4.7 45–50

Borneo 30–35 4.1–4.3 55–65

Philippine Islands 30–35 4.2–4.3 55–60

Sunda Shelf 30–35 4.3 55–65

Indochina 25–40 4.3–4.5 55–70

Southeast China 30–40 4.0–4.3 60–95

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Discussion

In the interpretation of dispersion data, for the same period of group velocity Rayleigh wave will sample a deeper range than Love wave (Wu and Levshin, 1994; Ritzwoller et al., 1998). Therefore, a Love wave needs a longer period to sample the same depth as Rayleigh wave does. So, we can expect that the group velocity images of Rayleigh wave and of Love wave to be different. The shear wave velocity is obtained by inverting both the regionalized group velocities of Rayleigh and Love waves together.

The South China Sea Basin shows a high velocity region in the group velocity image of Rayleigh wave at the period of 16 s (Figure 7a) and of Love wave at the period of 20 s (Fig-ure 8a). The group velocity image of Rayleigh wave at 16 s is related to the velocity structure at the depth of 16 km. Thus, at the depth of 16 km, the South China Sea Basin may have reached its upper mantle. This means that the South China Sea Basin may have crust of thickness less than 16 km. Ludwig (1970) showed that the crust of the South China Sea Basin is oceanic. Our group velocity image map shows the same result. The South China Sea Basin shows higher group velocity image than that of its surrounding area. This is consistent with the structure of an extinct spreading ridge. The South China Basin was formed by sea floor spreading from 32 to 17 Ma (Taylor and Hayes, 1980, 1983; Briais et al., 1993).

The southeastern part of the Sulu Sea Basin and Celebes Sea Basin also show higher veloc-ity region in the group velocveloc-ity image of Ray-leigh wave at 16 s (Figure 7a) and of Love wave at 20 s (Figure 8a). This probably indi-cates that these two regions also have thinner crust. Murauchi et al. (1973) showed by seismic exploration that the Sulu Sea Basin is divided by Cagayan Ridge into two parts; the North-west Basin and the Southeast Basin, and the crust of the Southeast Basin is oceanic. The Celebes Sea Basin has an oceanic crust of mid-dle to late Eocene age (Weissel, 1980). Thus, our result is also consistent with that of the previous studies.

The wave velocities on the two sides of the Red River Fault Zone in Vietnam are different as can be seen on the group velocity image of Love

wave at the period of 40 s (Figure 8b). The velocity on the northeastern side is higher than that on the southwestern side. This difference can also be seen on the group velocity images of Rayleigh wave at the periods of 28, 40 and 50 s and of Love wave at the period of 28, 40, 50 and 60 s. Thus, it is plausible that the Red River Fault Zone is a deep fault zone.

Most of Burma shows lower velocity on the group velocity images of Rayleigh (at the periods of 40 and 80 s, i.e. Figures 7b and c) and Love waves (at the periods of 40 and 80 s, i.e. Figures 8b, and c). This is probably due to the fact that Burma is located at the collision zone between Indian Plate and Eurasian Plate, so it is under compressional deformation and thus also have intense seismicity (Chen and Molnar, 1990). It is shown that before the arrival of continental India, there was an easterly dipping Benioff zone, reaching a depth of about 150 km beneath the Burman Volcanic Arc. With the arrival of conti-nental India, the Benioff zone has become diffused and the whole region underlying the Indo-Burman Ranges and the central valley of Burma is now transformed into a collision zone characterized by right-slip motion, following extinction of the subduction-related volcanic arc (Hutchison, 1989).

The Philippine Islands shows a lower velocity region in the group velocity images of Rayleigh wave at the periods from 16 s to 40 s (Fig-ures 7a, b) and of Love wave at the periods from 20 to 40 s (Figures 8a and b) and also 50 s. The Philippine archipelago, which comprises the wes-tern margin of the Philippine Sea between 5 N and 20 N, separates the Philippine Sea Basin from the South China, Sulu, Celebes seas mar-ginal basins. Like other convergent plate bound-aries, the archipelago is characterized by high seismicity, Quaternary volcanism, and intense recent deformation (Hamburger et al., 1983). This is probably the reason that the Philippine Islands had lower velocity.

There is significant lateral heterogeneity in the shear wave velocity structure of the crust and upper mantle in the South China Sea and its sur-rounding area. This is shown in Figure 9. This lateral heterogeneity persists down to depth of at least 200 km. Some surface features also have its effects down to depth of at least 200 km, such as the South China Sea Basin, Borneo, Indochina, 21

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the Central Philippine Islands, the Sulu Sea Basin, the Gulf of Tonkin of Vietnam.

From Figure 9, the South China Sea Basin shows a higher velocity region begin at depth of 20 km, and persists until depth of about 60 km, but at depth of 65 km, the shear wave velocity of the South China Sea Basin already decreases to a lower value. This plausibly indicates that the thickness of the lithosphere of the South China Sea Basin is less than 65 km.

The Red River Fault Zone (RRFZ) is a major fault zone of our study area. We observed on the shear wave velocity distribution map that the shear wave velocities are different on the two sides of RRFZ. The northeast side of RRFZ has higher shear wave velocity. This difference is observed at depth of 20 km, and persists to depth of 200 km. This probably shows that the RRFZ has cut through the whole lithosphere and is plau-sibly a boundary between the South China block and the Indosinia Block. In north Vietnam, the Song Chay-Song Ma belt is the suture zone between the South China Block and the Indosinia block. By the end of the lower Palaeozoic, the In-dosinia Block was consolidated onto the Cathay-sian Plate (Hutchison, 1989). But it was proposed by earlier workers (Tapponnier et al., 1982; Briais et al., 1993) that during Tertiary Indochina was extruded along the Red River Fault Zone with a left-lateral displacement of probably 500–600 km. So, it looks like now the Red River Fault Zone is the boundary between the South China Block and the Indosinia Block. The Bacbo province in northern Vietnam (i.e. the region to the northeast of RRFZ in Vietnam) is a continental crustal extension of the South China Platform.

The central Philippine Islands is always show-ing lower shear wave velocity in the shear wave velocity distribution map or lower group velocity

in the group velocity image map. This may be because of recent volcanism in the central Philip-pines. Recent volcanism occurs along two princi-pal north–south chains, which are distributed from southern Luzon to the northern part of Mindanao (Divis, 1980). Another reason is that the Philippine Archipelago is a convergent plate boundary separating the Philippine Sea Basin from the South China, Sulu, Celebes Seas mar-ginal basins, so the archipelago is characterized by high seismicity, Quaternary volcanism and intense recent deformation (Hamburger et al., 1983). This will make its velocity lower.

The Sulu Sea Basin always has lower shear wave velocity in Figure 9. The reason for having lower shear wave velocity in Sulu Sea Basin is probably related to its high heat flow (Murauchi et al., 1973). It was pointed out that the average of three heat flow measurements in the Sulu Sea is 2.4 HFU, which is markedly higher than the average heat flow of 1.3 HFU of all ocean basins. In Figure 9a, the areas to the northwest and southeast of Borneo have lower shear wave velocity. This is consistent with the distribution of Paleogene and Neogene sediment in the north-west and southeast part of Borneo (Figure 3.8 in Hutchison, 1989).

In Figure 9, in northwestern Borneo, rela-tively higher shear wave velocity begins to show up at depth of 30 km, and persists to depth of 70 km. This is probably the subduction zone of the pre-South China Sea Basin, which was sug-gested to exist southeast of Reed Bank prior to its subduction beneath Borneo (Taylor and Hayes, 1980). This higher shear wave velocity zone extends westwards to about 110 E. This is consistent with the suggestion of Ludwig et al. (1979) that the Palawan Trough possibly extends westwards to about 110 E.

Table 2. The shear wave velocity of the lid of upper mantle and the thickness of lithosphere in each structure unit in the South China Sea region as obtained by Cao et al. (2001).

Shear velocity of lid (km/s) Thickness of lithosphere (km)

South China Sea 4.4 (4.3–4.7) 60–65 (45–50)

Borneo 4.4 (4.1–4.3) 60 (55–65)

Philippine Islands 4.4 (4.2–4.3) 65 (55–60)

Indochina 4.4 (4.3–4.5) 70 (55–70)

Southeast China 4.4 (4.0–4.3) 70–100 (60–95)

West Philippine Basin 4.55 (4.7 ‘ 4.8) 60 (50–55)

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In Figure 9, higher shear wave velocity of the northern arm of Sulawesi begins to show up at depth of 60 km. This higher shear wave velocity expands towards the Celebes Basin and persists down to about 200 km. This is probably the westward subduction of Molucca Sea Plate. The Molucca Sea Plate is subducting eastards under the Hamahera island arc and simulta-neously is subducting westwards under Sangihe island arc. Cardwell et al. (1980) has shown that the Sangihe Island Arc is an east-facing island arc system where lithosphere of Molucca Sea Plate has been subducted to the west beneath the Sangihe Arc. The seismic zone dips west

from the center of the Molucca Sea to a maxi-mum depth of 682 km beneath the Celebes Basin (Cardwell et al., 1980). This can be seen from Figures 9c–f.

In Figure 9, northern Burma has lower shear wave velocity all the way from depth of 20 km down to depth of 200 km. This is possibly due to deformation caused by collision between the Eur-asian plate and the Indian Plate.

In Figure 9, higher shear wave velocity shows up in the western part of Indochina (southern Thailand) at depth of 50 km. This higher shear wave velocity zone becomes bigger at deeper depth, and persists down to depth of 200 km.

Figure 13. Contour lines of the crustal thickness (km) in the South China Sea region. Heavy dotted line represents the inferred continent-ocean boundary (COB) (from Nissen et al., 1995b). Heavy lines are the locations of the three transects of Nissen et al. (1995b). Open circles are locations of OBS of Yan et al. (2001). Diamonds are locations of ESPs of Nissen et al. (1995a).

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This is probably a cooler plate, which was moved southeastwards accompanying the southeastwards extrusion of Indochina as a result of collision between the Indian Plate and the Eurasian Plate.

From Figure 9, northern Luzon begins to show highershearwavevelocityatdepthof30 km,andper-sists down to depth of about 85 km. This is probably the subduction of West Philippine Basin along the East Luzon Trough. The East Luzon Trough occurs along the east coast of Luzon and is defined by a bathymetric depression greater than 5.2 km depth from about17 Nto15 N.Aseismiczonedippingto the west has developed to a depth of about 85 km beneath the east coast of Luzon (Hamburger et al., 1983).

Cao et al. (2001) used surface waveform inversion to get a three-dimensional shear wave velocity structure of crust and upper mantle in South China Sea and its adjacent regions. Their result shows significant difference in the velocity distribution, especially in the shear wave velocity in the lid of upper mantle and the thickness of lithosphere. Their results are summarized in Table 2, for easy comparison we put our results on Table 2 inside the parenthesis.

Tables 1 and 2 show that our results are simi-lar to those of Cao et al. (2001). As expected, our estimated thickness of the lithosphere is smaller than that of Cao et al. (2001).

In Figure 13, we overlay the locations of the three transects (Eastern Transect, Central Tran-sect and Western TranTran-sect) of Nissen et al. (1995b) and the centers of Expanding Spread Profile (ESP) of Nissen et al. (1995a). At these 20 ESPs, they got velocity-depth information and at 17 locations of the 20 ESPs they got reliable depths to the Moho and the corresponding crus-tal thickness. They concluded, for both the East-ern and WestEast-ern Transects, these values reveal a general decrease in crustal thickness southward across the China margin. Nissen et al. (1995b) used the gravity data constrained by the results of ESPs to deduce the large-scale crustal varia-tions across the three transects. The result shows that along all these three transects the crustal thickness increases from the South China Sea Basin to onshore of South China and that the extended crust in the west covers approximately twice the horizontal distance of that in the east. From Figure 13, at the Eastern Transect, our result shows that the crustal thickness increases

from about 10 km in the South China Sea Basin to about 27 km in the South China continental shelf. Correspondingly, at the Central Transect the crustal thickness increases from about 10 to 30 km, and at the Western Transect it varies from about 10 to 30 km. Our result also shows that the extended crust is wider in the west than in the east. So, the main features of our result are consistent with those of Nissen et al. (1995b).

We also overlay the positions of OBS (Ocean-Bottom Seismograph) of Yan et al. (2001) in Fig-ure 13. The results of Yan et al. (2001) showed that the South China continental shelf (OBS-1 and OBS-2) has a crustal thickness of 22 km, the upper slope (OBS-3–OBS-8) also has a crustal thickness of 22 km, for the lower slope (OBS-9–OBS-13) the crustal thickness varies from 21 to 9 km, and at the ocean basin (OBS-14 and OBS-15) the crustal thickness is 8 km. The crustal thickness observed by Yan et al. (2001) in the South China continen-tal margin decreases from 22 km at South China continental shelf to 8 km at the South China Sea Basin. Our corresponding results are as follows: the South China continental shelf (OBS-1 and OBS-2) has a crustal thickness of about 27–26 km, the upper slope (OBS-3–OBS-8) has a crustal thickness varies from 24 to 19 km, for the lower slope (OBS-9–OBS-13), the crust thickness varies from 18 to 13 km, and at the ocean basin (OBS-14 and OBS-15), the crust thickness varies from 12 to 11 km. By comparing the estimations of Yan et al. (2001) with ours, we find that the gross feature is consistent, that is over the northern margin of the South China Sea the thickness of crust decreases from the South China continental shelf towards the South China Sea Basin.

Xia et al. (1994) show that the mainland of South China is underlain by continental crust with thickness of 30 km in Fuzhou-Guanzhou, 27–28 km in Xiameng-Shantou, 27–29 km in the north of Hainan Island. This shows that in the east coast of Southeast China the crustal thick-ness is 27–30 km. Our estimate is consistent with this result of Xia et al. (1994). Schlu¨ter et al. (1996) shows results of seismic profiles along some locations, some of the results show the crustal thickness. For example, the crustal thick-ness in the eastern South China Sea Basin varies from 9 to 12 km, the crustal thickness of the Reed Bank Terrane varies from 22 to 27 km. This is consistent with that of our result also. Li

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and Mooney (1998) show the distribution of crustal thickness in China by analyzing the result of Deep Seismic Sounding in China. The map shows the crustal thickness in the east coast is about 30 km and increases westwards to about 70 km in Tibet. This is also consistent with that of our present and previous results (Tsai and Wu, 2000). Kido et al. (2001) shows that in the northern South China Sea, the crustal thickness thins seawards from approximately 22 km beneath the continental shelf to 5 km beneath the main basin. This trend is similar to that of our result. Qiu et al. (2001) shows the crust struc-ture across the Xisha Trough. Although, our res-olution cannot resolve the detailed structure of Xisha, but their trend of increasing in crustal thickness from 8 km beneath the Xisha Trough to 25 km under the coast line of Southeast China is similar to that of our result.

In summary, in the northern margin of the South China Sea, our estimation of crustal thick-ness derived from the group velocity dispersion characteristics of the fundamental mode Rayleigh waves are consistent with that of previous works (Xia et al., 1994; Nissen et al., 1995a, b; Schlu¨ter et al., 1996; Li and Mooney, 1998; Tsai and Wu, 2000; Kido et al., 2001; Yan et al., 2001; Qiu et al., 2001).

Conclusion

We have used the long period or broadband seis-mograms from 1252 earthquakes that occurred in Southeast Asia to calculate the dispersion curves of fundamental mode Rayleigh and Love waves. A three-dimensional shear wave velocity model of the crust and upper mantle in South China Sea and its surrounding regions is therefore obtained. Our conclusions are as follows:

(1) There is significant heterogeneity in the distri-bution of group velocity of fundamental mode Rayleigh and Love waves in the South China Sea and its surrounding regions. The South China Sea Basin has higher group velocity than its adjacent regions at the peri-ods of 16, 20, 40, 80, and 100 s. Different structure units show different group velocities on the image map.

(2) There is significant heterogeneity in shear wave velocity structure of the crust and upper mantle in the South China Sea and its surrounding regions. The thickness of crust, the shear wave velocity of the lid in upper mantle and the thickness of lithosphere are significantly different among different struc-ture units.

(3) The thickness of crust in South China Sea Basin is about 5–10 km; in Indochina 25– 40 km; in Peninsular Malaysia 30–35 km; in Borneo 30–35 km; in Palawan 35 km; in Philippine Islands 30–35 km, in Sunda Shelf 30–35 km, in Southeast China 30–40 km, in West Philippine Basin 5–10 km.

(4) The South China Sea Basin has a lithosphere with thickness of about 45–50 km, and its shear wave velocity of lid is about 4.3– 4.7 km/s; Indochina has a lithosphere with thickness of about 55–70 km, and its shear wave velocity of lid is about 4.3–4.5 km/s; Borneo has a lithosphere with thickness of about 55–65 km, and its shear wave velocity of lid is about 4.1–4.3 km/s; the Philippine Islands has a lithosphere with thickness of about 55–60 km, and its shear wave velocity of lid is about 4.2–4.3 km/s; West Philippine Basin has a lithosphere with thickness of about 50–55 km, and its shear wave velocity of lid is about 4.7–4.8 km/s; Sunda Self has a lithosphere with thickness of about 55 to 65 km, and its shear wave velocity of lid is about 4.3 km/s.

(5) The Red-River Fault Zone is inferred to be a deep-seated fault zone. It probably has penetrated to a depth of at least 200 km. Both sides of RRFZ have different shear wave velocity. The northeast side has higher shear wave velocity. It is suggested to be the boundary between the South China Block and the Indosinia block.

Acknowledgements

We thank the National Science Council for fund-ing this research under the contract number NSC 91-2116 -M-008-010. We also thank Mr. Trinh Viet Bac of the Institute of Geological Sciences, National Center for Natural Sciences and Tech-nology, Hanoi, Vietnam, for helping the data 25

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collection at Bacgiang and Vinh City, Vietnam. We thank Dr. Shu-Kun Hsu for valuable sugges-tions and help. We also thank Dr. Ruey-Der Hu-ang for valuable help.

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數據

Figure 1. Topographic map of the South China Sea and its surrounding regions (contour interval at 2000 m).NWB: Northwest Sub-basin, SWB: Southwest sub-basin, Y.B.: Yingge Basin, M.: Mindoro, E.L.T.: East Luzon Trough, MIN: Mindanao, H.I.A.:
Figure 2. Locations of seismographic stations (triangle) and epicentral distribution of earthquakes (dots)
Figure 2. Only the seismograms generated by earthquakes at depths shallower than 100 km were used, because the records of deeper events contains the higher modes which might  contami-nate fundamental modes.
Figure 4. The study region from 80 E–140 E and 16 S–32 N is divided into 3 · 3 blocks
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