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Postseismic Deformation Following the 1994 Northridge Earthquake Identified Using the Localized Hartley Transform Filter

机译:使用局部Hartley变换滤波器识别1994年Northridge地震后的地震后形变

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Here we present a new mathematical tool, the localized Hartley (HL) transform (Hartley, 1942; Bracewell, 1990), that allows for the filtering of 1-D time series through the identification of the power at various spatial and temporal wavelengths. Its application to and the associated results are presented from its application to continuous Global Positioning System (GPS) data from southern California for the time period 1994 through 2006. The HL transform filter removes the high-frequency components of the data and effectively isolates the longer period signal. This long-period signal is modeled as time-dependent postseismic deformation using the viscoelastic-gravitational model of Fernández and Rundle (2004) for six stations selected for their proximity to the Northridge earthquake. The x-, y-, and z-components of the postseismic deformation are compared to the filtered data. Results suggest that this long-period deformation is a result of postseismic relaxation and that the HL transform filter provides an important new technique for the filtering of geophysical data consisting of the superposition of the effects of numerous complex sources at a variety of spatial and temporal scales.
机译:在这里,我们介绍了一种新的数学工具,即本地化的Hartley(HL)变换(Hartley,1942; Bracewell,1990),该工具可以通过识别各种时空波长处的功率来对一维时间序列进行滤波。从1994年到2006年期间,它在来自加利福尼亚南部的连续全球定位系统(GPS)数据中的应用以及与之相关的结果得到了介绍。HL变换滤波器去除了数据的高频分量,并有效地隔离了较长的数据周期信号。使用Fernández和Rundle(2004)的粘弹性引力模型,针对六个因其接近Northridge地震而选择的站点,将该长期信号建模为时间相关的地震后变形。将地震后变形的x,y和z分量与滤波后的数据进行比较。结果表明,这种长期变形是地震后松弛的结果,并且HL变换滤波器为地球物理数据的滤波提供了一种重要的新技术,该技术包括在各种时空尺度上叠加众多复杂源的影响。 。

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