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Comprehensive geomagnetic signal processing for sucessful earthquake prediction

机译:成功地震预测的综合地磁信号处理

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Previous studies suggested that seismo-electromagnetic signals were generated during earthquake preparation phase. While the anomalous signals in Japan, Russia, and Greece are rather clear; observational results in some regions including America and Indonesian have not conclusive yet, whether the signals are really exist or normal magnetic storm phenomena only. Some problems in measuring instrumentations might also result in anomalous signals. This paper reviews further possibilities by processing a nearly continuous geomagnetic data of INTERMAGNET observatories in three regions (Japan, America, and Indonesia) during the last twelve years (2000–2011). MATLAB ® with digital signal processing and statistical toolboxes is used for night-time data filtering thereafter processing methods of differentiation and moving average are applied. To get relationship between these anomalous signals and natural processes, tectonic settings of the regions and global geomagnetic conditions are also considered in the analysis. Fast decreasing of geomagnetic intensities signals are showed prior to earthquakes in Japanese regions, while some little increases of differentiation signals between two adjacent observatories were seen from their moving average values. The anomaly was 10.08 nT, during 8 days started from 32 days prior to the earthquake. Decreasing of geomagnetic intensities prior to earthquakes in American regions occurred rather longer and formerly (during 40 days started from 137 days prior to the earthquake), but the magnitudes are not so high. In Indonesian regions, fast decreasing of geomagnetic signals and increasing of differentiation signals are very clear, especially prior to the giant M9.1 Sumatra earthquake. The anomaly reached extreme magnitude of more than 200 nT during several days prior to the earthquakes. All observational results are back to the normal (base line) values after earthquake occurrences. The distances from the observatories to the- epicenters and the magnitudes of earthquakes very affect the results. Elevations of observatories and the tectonic settings of regions may also affect the magnitude of anomalous signals. Some missing data during earthquake days are in fact very valuable to complete the analysis. After all, the geomagnetic signal processing is very valuable in searching appropriate precursors for successful earthquake predictions.
机译:以前的研究表明在地震制剂期间产生了地震电磁信号。虽然日本,俄罗斯和希腊的异常信号相当明确;在包括美国和印度尼西亚的一些地区的观察结果尚未结论,只有信号是否真的存在或常规磁风暴现象。测量仪器中的一些问题也可能导致异常信号。本文通过在过去的十二年(2000-2011)中加工三个地区(日本,美国和印度尼西亚)的近乎连续的地质数据(日本,美国和印度尼西亚)来审查进一步的可能性。 matlab®利用数字信号处理和统计工具箱用于夜间数据滤波,此后应用了分化和移动平均值的处理方法。为了在这些异常信号和自然过程之间获得关系,在分析中也考虑了区域的构造环境和全局地质条件。在日本地区地震之前显示出地磁强度信号的快速降低,而两个相邻的观察者之间的分化信号从它们的移动平均值看出。异常是10.08 nt,在发生地震前32天开始8天。在美国地区地震发生之前的地磁强度降低相当长,以前(在地震发生前的137天开始40天),但大小并不那么高。在印度尼西亚地区,快速降低地磁信号和分化信号的增加非常清晰,特别是在巨型M9.1苏门答腊地震之前。在地震前几天,异常达到了200多个NT的极度大小。所有观察结果都返回到地震发生后的正常(基线)值。从观察者到震中的距离和地震大小非常影响结果。观察者的高度和区域的构造环境也可能影响异常信号的大小。地震日期间的一些缺失数据实际上是为了完成分析非常有价值。毕竟,地磁信号处理对于寻找适当的地震预测的适当前体是非常有价值的。

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