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How Credible Are Earthquake Predictions Based on TEC Variations?

机译:地震预测是基于有多可信TEC变化?

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The possible relation between pre-earthquake processes and ionospheric fluctuations is widely investigated and debated. Here, we conduct a numerical experiment to examine two studies that reported preseismic anomalies in the ionospheric total electron content (TEC) and argue for the significance of their respective analyses based on statistical evaluations. The first study is that by Liu et al. (2018, https://doi. org/10.3319/tao.2018.03.11.01), who statistically investigated the relationship between 62 M ≥ 6 earthquakes occurred in China over an 18-year period and the TEC, which was deduced from the Global Ionospheric Map. According to this study, the TEC showed anomalies with specific polarities at certain days and times that preceded the earthquakes. Earthquake alarms they defined based on these anomalies showed a good performance. We conduct this same analysis using random synthetic earthquakes and obtain results that closely match those by Liu et al. (2018, https://doi.org/10.3319/tao.2018.03.11.01), thus indicating that the good performance of the Liu et al. (2018, https://doi.org/10.3319/tao.2018.03.11.01) alarm is an artifact. The second study is that by Le et al. (2011, https://doi.org/10.1029/2010ja015781), who classified the TEC time series into anomalous and non-anomalous days based on the TEC perturbation. They found that the anomalous day rate increased as the nucleation time of the earthquakes was approached, especially for larger and shallower earthquakes. We conduct the same analysis using random synthetic earthquakes. The anomalous day rate that is comparable to their result occurs in ~40% of the 1,000 random trials, thereby suggesting that their result may also be an artifact.
机译:地震前之间的可能关系流程和电离层波动广泛调查和讨论。数值实验检查两项研究报道preseismic电离层异常现象总电子含量(TEC)和主张各自的意义分析的基础在统计评估。通过刘et al。(2018年,https://doi。org/10.3319/tao.2018.03.11.01)统计调查了62 M≥6之间的关系地震发生在中国一个18年期和TEC的推断全球电离层地图。与特定的极性TEC显示异常在特定的日子和时间之前地震。在这些异常表现出良好的性能。使用随机合成进行同样的分析地震和获得匹配的结果这些由刘et al。(2018年,https://doi.org/10.3319/tao.2018.03.11.01),因此表明刘的良好的性能et al . (2018),https://doi.org/10.3319/tao.2018.03.11.01)报警是一个工件。分类TEC时间序列的异常和基于TEC non-anomalous天微扰。率增加的成核时间地震时,特别是对于大和浅地震。使用随机合成地震分析。异常率与他们结果发生在1000 ~ 40%的随机试验,从而表明其结果也可以一个工件。

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