首页> 外文会议>Symposium on the Application of Geophysics to Engineering and Environmental Problems >APPLICABILITY OF A SPATIAL AUTOCORRELATION METHOD (SPAC)USING A LINEAR ARRAY IN COMPARISON WITH TRIANGULAR ANDL-SHAPED.ARRAYS
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APPLICABILITY OF A SPATIAL AUTOCORRELATION METHOD (SPAC)USING A LINEAR ARRAY IN COMPARISON WITH TRIANGULAR ANDL-SHAPED.ARRAYS

机译:使用线性阵列的空间自相关方法(SPAC)的适用性与三角形andl形的阵列相比

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We have examined the applicability of a spatial auto-correlation (SPAC) method using a linear array in comparison with triangular and L-shaped arrays. The SPAC requires two dimensional arrays, such as a circle, a triangle and a crossing for calculating the phase-velocity of the microtremor. Theoretically, isotropic arrays; such as a circle or an equilateral triangle, are preferable in the SPAC analysis. However, the isotropic arrays required wide space and it is difficult to obtain such wide space in urban area. Recently, several theoretical and experimental studies have shown the validity of irregular arrays. Results of these studies have also implied the validity of linear arrays in which receivers are placed only on a line. The use of linear arrays will enable us to apply passive methods in urban area much easily. In this paper, we are going to examine the applicability of the linear array in terms of numerical simulation and field experiments. The result of field experiment showed that the linear array provides almost identical dispersion curves as that of two dimensional arrays although numerical simulation showed clear disadvantage of the linear array. It implies: that that the sources of the microtremor are distributed, randomly in space and the microtremor does not have any specific propagation direction at most of sites
机译:我们研究了与三角形和L形阵列相比使用线性阵列的空间自相关(SPAC)方法的适用性。 SPAC需要二维阵列,例如圆形,三角形和用于计算微调的相位速度的交叉。理论上,各向同性阵列;如圆形或等边三角形,在SPAC分析中是优选的。然而,各向同性阵列需要宽阔的空间,并且很难获得城市地区的这种广阔空间。最近,几个理论和实验研究表明了不规则阵列的有效性。这些研究的结果也暗示了线性阵列的有效性,其中接收器仅放在一条线上。线性阵列的使用将使我们能够轻松地将被动方法应用于城市地区。在本文中,我们将根据数值模拟和现场实验来检查线性阵列的适用性。现场实验的结果表明,线性阵列提供了几乎相同的色散曲线,因为数值模拟显示了线性阵列的明显缺点。它意味着:微路径的来源是分布的,在空间中随机分布,微路径在大多数站点上没有任何特定的传播方向

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