谢夜玉,潘岳怡,符衡,等. 超快地震速报系统对网缘地震的速报分析—以2019年广西北流MS5.2、靖西MS5.2地震序列为例[J]. 华北地震科学,2020, 38(S2):39-45. doi:10.3969/j.issn.1003−1375.2020.S2.007.
引用本文: 谢夜玉,潘岳怡,符衡,等. 超快地震速报系统对网缘地震的速报分析—以2019年广西北流MS5.2、靖西MS5.2地震序列为例[J]. 华北地震科学,2020, 38(S2):39-45. doi:10.3969/j.issn.1003−1375.2020.S2.007.
XIE Yeyu,PAN Yueyi,FU Heng,et al. Network Edge Earthquake Fast Reporting by Ultra-fast Earthquake Reporting System—Take the Guangxi Beiliu MS5.2 and Jingxi MS5.2 Earthquake Sequences in 2019 as Examples[J]. North China Earthquake Sciences,2020, 38(S2):39-45. doi:10.3969/j.issn.1003−1375.2020.S2.007.
Citation: XIE Yeyu,PAN Yueyi,FU Heng,et al. Network Edge Earthquake Fast Reporting by Ultra-fast Earthquake Reporting System—Take the Guangxi Beiliu MS5.2 and Jingxi MS5.2 Earthquake Sequences in 2019 as Examples[J]. North China Earthquake Sciences,2020, 38(S2):39-45. doi:10.3969/j.issn.1003−1375.2020.S2.007.

超快地震速报系统对网缘地震的速报分析—以2019年广西北流MS5.2、靖西MS5.2地震序列为例

Network Edge Earthquake Fast Reporting by Ultra-fast Earthquake Reporting System—Take the Guangxi Beiliu MS5.2 and Jingxi MS5.2 Earthquake Sequences in 2019 as Examples

  • 摘要: 2019年10月12日广西北流市发生MS5.2地震,11月25日广西靖西市发生MS5.2地震,超快地震速报系统对位于广西地震台网网缘地区的这两次5.2级地震及序列进行了自动速报。从漏报地震、速报用时、定位误差等方面对这两次5.2级地震序列中2级以上地震的超快速报过程进行对比分析,从震级、最大空隙角和台站数据质量讨论影响超快速报的因素,探讨如何提高网缘地震的超快速报效能。

     

    Abstract: An MS5.2 earthquake occurred to Beiliu city, Guangxi on October 12, 2019, and an MS5.2 earthquake struck to Jingxi City, Guangxi on November 25, 2019. The ultra-fast earthquake reporting system automatically reported the two MS5.2 earthquakes and their sequences located in the edge area of Guangxi seismic network. This paper makes a comparative analysis on the process of very fast report of M ≥ 2 earthquakes in the two MS5.2 earthquake sequences from the aspects of missed earthquake report, time of quick report and location error, discusses the factors influencing the ultra-fast report from the magnitude, maximum gap angle and station data quality, and discusses how to improve the ultra-fast reporting efficiency of the network edge earthquakes.

     

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