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Gridification of regional Fault Plain Solution (FPS)

机译:区域断层平原解决方案(FPS)的网格化

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The main goal of the Fault Plain Solution (FPS) application is the determination of the faulting mechanism that characterizes earthquake parameters (dip, strike, rake). For this purpose, regional Moment Tensor Inversion (MTI) method that calculates faulting parameters using three-dimensional broad-band waveform seismic data was used. FPS application is composed of two main software components: the first one is Time Domain Moment Tensor Inverse Code (TDMT_INVC with synthetic seismogram calculation) and the second one is Seismic Data Server Application Service (SDSAS) that is used for retrieving waveform data from storage elements. The most time consuming part of the FPS application involves the calculation of Green’s functions. Therefore, we parallelized calculation of the Greens functions. A Job Description Language (JDL) workflow is automatically created based on the initial parameters of individual crustal models that are necessary for producing Green functions. Timing results obtained show that our FPS application did achieve speed-up as a result of parallelization.
机译:“断层平原解决方案”(FPS)应用程序的主要目标是确定表征地震参数(倾角,走向,瑞克)的断层机制。为此,使用了区域矩张量反演(MTI)方法,该方法使用三维宽带波形地震数据计算断层参数。 FPS应用程序由两个主要软件组件组成:第一个是时域矩张量逆代码(带有合成地震图计算的TDMT_INVC),第二个是地震数据服务器应用程序服务(SDSAS),用于从存储元件中检索波形数据。 FPS应用程序中最耗时的部分涉及Green函数的计算。因此,我们并行化了Greens函数的计算。作业描述语言(JDL)工作流将根据产生Green功能所需的各个地壳模型的初始参数自动创建。获得的时序结果表明,由于并行化,我们的FPS应用程序确实实现了加速。

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