Estimation of slip distribution using an inverse method based on spectral decomposition of Green's function utilizing Global Positioning System (GPS) data

Estimation of slip distribution using an inverse method based on spectral decomposition of Green's function utilizing Global Positioning System (GPS) data
复制标题

使用基于利用全球定位系统 (GPS) 数据的格林函数谱分解的反演方法来估计滑移分布

DOI:
10.1029/2004jb003378
复制
发表时间:
2007
影响因子:
--
通讯作者:
M. Hori
M. Hori
中科院分区:
--
文献类型:
--
作者:
H. Jin;T. Kato;M. Hori

文献摘要

参考文献

被引文献

相似文献

文[1]采用了一种基于格林函数谱分解的逆方法来估计滑移分布。用这种方法对日本西南部菲律宾海板块(PH)边界进行了数值模拟,以考察如何确定基本参数,即形变函数振型的数目及其系数。利用日本GPS对地观测网络(GeoNet)的全球定位系统(GPS)资料,对该地区1997~1999年的三年间震间背滑分布进行了估算。估算的最大背滑速率约为7厘米/年,这与菲律宾海板块的会聚速率一致。强耦合区域被限制在10至30公里的深度之间,并划定了三个强耦合区域。这些结果与其他估计耦合分布位置的研究是一致的。
[1] An inverse method based on the spectral decomposition of the Green's function was employed for estimating a slip distribution. We conducted numerical simulations along the Philippine Sea plate (PH) boundary in southwest Japan using this method to examine how to determine the essential parameters which are the number of deformation function modes and their coefficients. Japanese GPS Earth Observation Network (GEONET) Global Positioning System (GPS) data were used for three years covering 1997–1999 to estimate interseismic back slip distribution in this region. The estimated maximum back slip rate is about 7 cm/yr, which is consistent with the Philippine Sea plate convergence rate. Areas of strong coupling are confined between depths of 10 and 30 km and three areas of strong coupling were delineated. These results are consistent with other studies that have estimated locations of coupling distribution.
DOI: --
发表时间: 2003
期刊: The Earth Monthly 25(1)
影响因子: --
作者:
Tabei;T.
通讯作者: T.
大地反演推算的2003年宫城县北部地震(M6.4)的滑移分布
DOI: --
发表时间: 2004
期刊: Earth Planets Space 56
影响因子: --
作者:
Miura;S.;Y.Suwa;T.Sato;K.Tachibana;A.Hasegawa
通讯作者: A.Hasegawa