首页> 外文会议>2011 30th URSI General Assembly and Scientific Symposium >Neural network based tomographic approach to detecting the ionospheric anomalies prior to the 2007 Southern Sumatra earthquake
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Neural network based tomographic approach to detecting the ionospheric anomalies prior to the 2007 Southern Sumatra earthquake

机译:基于神经网络的层析成像方法来检测2007年苏门答腊南部地震之前的电离层异常

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In this paper, neural network based ionospheric tomography was performed to investigate the detailed structure that may be associated with earthquakes. The 2007 Southern Sumatra earthquake (M8.5) is selected because significant decreases in the Total Electron Content (TEC) have been confirmed by GPS data analysis. With respect to the analyzed earthquake, we detected significant decreases at heights of 250–400 km, especially at 300 km. The global tendency is that the decreased region expands to the east with increasing altitude and concentrated in the Southern hemisphere over the epicenter. Furthermore, obtained results are consistent with other satellite observation.
机译:在本文中,进行了基于神经网络的电离层层析成像,以研究可能与地震有关的详细结构。之所以选择2007年苏门答腊岛南部地震(M8.5),是因为GPS数据分析已证实总电子含量(TEC)显着下降。关于分析的地震,我们发现在250–400 km的高度(特别是在300 km的高度)有明显的下降。全球趋势是,随着海拔的升高,减小的区域向东扩展,并集中在震中的南半球。此外,获得的结果与其他卫星观测结果一致。

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