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2019年甘肃张掖5.0级、夏河5.7级地震前地磁低点位移时空分布特征
引用本文:裴东洋,戴勇,王磊,格根.2019年甘肃张掖5.0级、夏河5.7级地震前地磁低点位移时空分布特征[J].地震地磁观测与研究,2021,43(1):68-75.
作者姓名:裴东洋  戴勇  王磊  格根
作者单位:中国呼和浩特 010010 内蒙古自治区地震局
基金项目:内蒙古自治区地震局局长基金(项目编号:2020YB09)
摘    要:2019年甘肃张掖5.0级、夏河5.7级地震前中国大陆均有明显的“地磁低点位移”现象出现,2次地震震中均位于低点位移线出现明显转折的区域。通过对2次低点位移异常日中国大陆地磁台站低点时间进行梯度法分析,研究了2次中强地震震中位置与低点时间高梯度带分布间的关系。研究结果表明:①在2次低点位移异常日都同步出现了地磁垂直分量低点时间高梯度带分布;②2次中强地震震中位置均位于低点位移线出现明显转折处和低点时间高梯度带1.0 h/(°)等值线附近;③利用低点时间梯度法对低点位移异常进行分析有利于改进原有异常识别方法,较少虚报率。

关 键 词:地磁垂直分量  低点位移  梯度分析  2019年张掖5.0级地震  2019年夏河5.7级地震

Characteristics of spatio-temporal distribution of geomagnetic low-point displacement before the 2019 M 5.0 Zhangye and M 5.7 Xiahe earthquakes
PEI Dongyang,DAI Yong,WANG Lei,Gegen.Characteristics of spatio-temporal distribution of geomagnetic low-point displacement before the 2019 M 5.0 Zhangye and M 5.7 Xiahe earthquakes[J].Seismological and Geomagnetic Observation and Research,2021,43(1):68-75.
Authors:PEI Dongyang  DAI Yong  WANG Lei  Gegen
Institution:Earthquake Agency of Inner Mongolia Autonomous Region, Hohhot 010010, China
Abstract:Apparent geomagnetic low-point displacement appeared in mainland china before the M 5.0 Zhangye earthquake and M 5.7 Xiahe earthquake in Gansu Province in 2019, the epicenters of these two earthquakes are located near the position where the low-point displacement line turned obviously. The relationship between earthquakes epicenters and the distribution of high gradient zones of low-point time is studied through analyzing the low-point time of the Chinese mainland's geomagnetic stations. The results show that:① The distribution of high gradient zone of the low-point time of geomagnetic vertical component appears synchronously in the two dates with low point displacement anomalous before these earthquakes; ② The epicenters of these two moderate to strong earthquakes are located at the obvious turning point of the low-point displacement line and near the 1.0 h/(°) contour line of the high gradient zone of low-point time; ③ Analyzing the low-point displacement anomaly by using the low-point time gradient method is helpful to improve the original identification, and shall reduce the misstatement rate.
Keywords:geomagnetic vertical component  geomagnetic low-point displacement  gradient analysis  the M 5  0 Zhangye earthquake in 2019  the M 5  7 Xiahe earthquake in 2019
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