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Removal of solar radiation effect based on nonlinear data processing technique for Seismo-Ionospheric Anomaly before few earthquakes

机译:基于非线性数据处理技术的地震前电离层异常太阳辐射效应消除

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The study of ionospheric precursorsof earthquakehas gained interest among many researchers, specially the precursor obtained in terms of anomalous variation in total electron content (TEC). If earthquake occurs during a period of moderate to high solar activity, the TEC derived using global positioning system (GPS) measurements requires the elimination of solar effect so as to identify the precursory signature. This paperincludes multi-resolution time series technique to remove the nonlinear effect from solar radiation on GPS-based TEC. The technique is based on wavelet transform applicable to RINEX TEC data. This technique is used to remove nonlinear background solar effect from TEC prior to four different earthquakes (M 6.0). Further in order to evaluate the extracted TEC, we obtain the correlation between the decomposed TEC A6 and measured solar index (F10.7) and extreme ultraviolet (EUV). A good correlation is obtained between decomposed TEC A6 and EUV for all the cases. This suggests that this technique is useful in removal of background solar effect for identifying earthquake precursor in TEC.
机译:地震电离层前体的研究引起了许多研究者的兴趣,特别是根据总电子含量(TEC)异常变化获得的电离层前体。如果地震发生在中等至较高的太阳活动期间,则使用全球定位系统(GPS)测量得出的TEC需要消除太阳影响,以识别前兆特征。本文包括多分辨率时间序列技术,以消除基于GPS的TEC的太阳辐射的非线性影响。该技术基于适用于RINEX TEC数据的小波变换。该技术用于消除四次地震(M 6.0)之前TEC的非线性背景太阳效应。此外,为了评估提取的TEC,我们获得了分解的TEC A6与测得的太阳指数(F10.7)和极紫外(EUV)之间的相关性。在所有情况下,分解后的TEC A6和EUV之间都具有良好的相关性。这表明该技术可用于消除背景太阳效应以识别TEC中的地震前兆。

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