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首页> 外文期刊>Journal of seismology >Statistical analysis of ionospheric TEC anomalies before global M (w) >= 7.0 earthquakes using data of CODE GIM
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Statistical analysis of ionospheric TEC anomalies before global M (w) >= 7.0 earthquakes using data of CODE GIM

机译:使用代码GIM数据的全局M(W)> = 7.0地震前的电离层TEC异常统计分析

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Based on Center of Orbit Determination in Europe (CODE) global ionospheric map (GIM) data, a statistical analysis of local total electron content (TEC) anomalies before 121 low-depth (D 100 km) strong (M (w) 7.0) earthquakes has been made using the sliding median differential calculation method combining with a new approach of image processing technique. The results show that significant local TEC anomalies could be observed 0-6 days before 80 earthquakes, about 66.1% out of the total. The positive anomalies occur more often than negative ones. For 26 cases, both positive and negative anomalies are observed before the shock. The pre-earthquake TEC anomalies show local time recurrence for 38 earthquakes, which occur around the same local time on different days. The local time distribution of the pre-earthquake TEC anomalies mainly concentrates between 19 and 06 LT, roughly from the sunset to sunrise. Most of the pre-earthquake TEC anomalies do not locate above the epicenter but shift to the south. The pre-earthquake TEC anomalies could be extracted near the magnetic conjugate point of the epicenter for 40 events, which is 50% out of the total 80 cases with significant local TEC anomalies. In general, the signs of the anomalies around epicenter and its conjugate point are the same, but the abnormal magnitude and lasting time are not.
机译:基于欧洲(代码)全局电离层地图(GIM)数据的轨道轨道中心,在121低深(D 100 km)之前的局部电子含量(TEC)异常的统计分析(M(w)7.0)地震已经使用了与图像处理技术的新方法相结合的滑动中值差分计算方法。结果表明,在80次地震前0-6天可以观察到显着的本地TEC异常,总数约为66.1%。阳性异常频繁比消极的异常发生。对于26例,在休克之前观察到阳性和阴性异常。地震前的TEC异常表现出38个地震的局部时间复发,这在不同日期的当地时间周围发生。局部时间分布在地震前的TEC异常主要集中在19到06之间,大致从日落到日出。大部分前地震TEC异常都没有找到震中的上方,而是向南转向。可以在震中的磁性共轭点附近提取地震前的TEC异常,为40个事件,其中50%是80例患有重要局部TEC异常的80例。通常,震中周围的异常的迹象及其共轭点是相同的,但异常的幅度和持续时间不是。

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