我们给出了MATLAB环境下的一个图形用户界面,用于远震剪切波分裂分析。鉴于越来越大型的地震学实验,设计SplitRacer来快速处理大型数据集,因为它集成了自动和用户主导步骤,这使得可根据用户自己的质量标准来进行直观的分析。SplitRacer...我们给出了MATLAB环境下的一个图形用户界面,用于远震剪切波分裂分析。鉴于越来越大型的地震学实验,设计SplitRacer来快速处理大型数据集,因为它集成了自动和用户主导步骤,这使得可根据用户自己的质量标准来进行直观的分析。SplitRacer提供了一系列用来确保精确测量以及用户友好的特征。可以从数字地震台网网络服务国际联合会成员的所有数据中心直接下载数据。将现有数据分割成1个小时的三分量地震波形后就很容易被使用。起初是自动数据检查,然后是对有问题的震相的目视评估。我们通过分析台站记录事件的质点运动并和理论反方位角进行比较来估计传感器的可能偏差。剪切波分裂分析是基于最小(切向)能量法(Silver and Chan,1991),这约束了快波偏振方向和延迟时间。可以对一系列时间窗进行重复测量来做统计误差分析。SplitRacer提供了每个台站单个震相分裂测量的概况,这可用于检测方位依赖性。为了推断台站下方的各向异性,SplitRacer为用一个或两个各向异性层模型,或平滑变化的各向异性模型来拟合观测数据提供了可能。此外,SplitRacer还提供了一个和两个假想层的多震相联合分裂分析,其中同时使用给定台站的所有事件来约束各向异性模型。这显著降低了噪声的影响,并使测量更稳健。作为示例,我们将应用SplitRacer来约束伯克利数字地震台网的固定台站BKS下方的地震各向异性。展开更多
In 2001 three earthquakes occurred in Shidian in Yunnan Province, which were the MS=5.2 on April 10, the MS=5.9 on April 12 and the MS=5.3 on June 8. Based on the data from the station Baoshan of Yunnan Telemetry Digi...In 2001 three earthquakes occurred in Shidian in Yunnan Province, which were the MS=5.2 on April 10, the MS=5.9 on April 12 and the MS=5.3 on June 8. Based on the data from the station Baoshan of Yunnan Telemetry Digital Seismograph Network, the variational characteristics of shear-wave splitting on these series of strong earthquakes has been studied by using the systematic analysis method (SAM) of shear-wave splitting. The result shows the time delays of shear-wave splitting basically increase with earthquake activity intensifying. However the time delays abruptly decrease immediately before strong aftershocks. It accords with the stress relaxation before earthquakes, which was found recently in study on shear-wave splitting. The result suggests it is significant for reducing the harm degree of earthquakes to develop the stress-forecasting on earthquake in strong active tectonic zones and economic developed regions or big cities under the danger of strong earthquakes.展开更多
文摘我们给出了MATLAB环境下的一个图形用户界面,用于远震剪切波分裂分析。鉴于越来越大型的地震学实验,设计SplitRacer来快速处理大型数据集,因为它集成了自动和用户主导步骤,这使得可根据用户自己的质量标准来进行直观的分析。SplitRacer提供了一系列用来确保精确测量以及用户友好的特征。可以从数字地震台网网络服务国际联合会成员的所有数据中心直接下载数据。将现有数据分割成1个小时的三分量地震波形后就很容易被使用。起初是自动数据检查,然后是对有问题的震相的目视评估。我们通过分析台站记录事件的质点运动并和理论反方位角进行比较来估计传感器的可能偏差。剪切波分裂分析是基于最小(切向)能量法(Silver and Chan,1991),这约束了快波偏振方向和延迟时间。可以对一系列时间窗进行重复测量来做统计误差分析。SplitRacer提供了每个台站单个震相分裂测量的概况,这可用于检测方位依赖性。为了推断台站下方的各向异性,SplitRacer为用一个或两个各向异性层模型,或平滑变化的各向异性模型来拟合观测数据提供了可能。此外,SplitRacer还提供了一个和两个假想层的多震相联合分裂分析,其中同时使用给定台站的所有事件来约束各向异性模型。这显著降低了噪声的影响,并使测量更稳健。作为示例,我们将应用SplitRacer来约束伯克利数字地震台网的固定台站BKS下方的地震各向异性。
基金National Natural Science Foundation of China (40274011 40074020) MOST (2001BA601B02) and Joint Seis-mological Science Foundation of China (102068).
文摘In 2001 three earthquakes occurred in Shidian in Yunnan Province, which were the MS=5.2 on April 10, the MS=5.9 on April 12 and the MS=5.3 on June 8. Based on the data from the station Baoshan of Yunnan Telemetry Digital Seismograph Network, the variational characteristics of shear-wave splitting on these series of strong earthquakes has been studied by using the systematic analysis method (SAM) of shear-wave splitting. The result shows the time delays of shear-wave splitting basically increase with earthquake activity intensifying. However the time delays abruptly decrease immediately before strong aftershocks. It accords with the stress relaxation before earthquakes, which was found recently in study on shear-wave splitting. The result suggests it is significant for reducing the harm degree of earthquakes to develop the stress-forecasting on earthquake in strong active tectonic zones and economic developed regions or big cities under the danger of strong earthquakes.
