2020年山东长清M4.1地震前DF地脉动信号的变化特征

doi:10.12196/j.issn.1000-3274.2023.03.010

地震 ›› 2023, Vol. 43 ›› Issue (3): 138-149.doi: 10.12196/j.issn.1000-3274.2023.03.010

2020年山东长清M4.1地震前DF地脉动信号的变化特征

李惠玲¹, 张明¹, 林秀娜¹, 陈洪凯¹, 韦进², 闫明豪¹

1.泰安地震监测中心站, 山东泰安 271000;
2.中国地震局地震研究所, 湖北武汉 430071

收稿日期:2022-11-09 修回日期:2023-02-13 出版日期:2023-07-31 发布日期:2023-08-28
作者简介:李惠玲(1986-), 女, 福建泉州人, 工程师, 主要从事地壳形变观测研究。
基金资助:
2022年中国地震局地震科技星火计划项目(XH23026C); 2022年山东省地震局一般科研项目(YB2216); 中国地震局监测、预报、科研三结合项目(3JH-202301060)

Analysis of Variation Characteristics of DF Microseisms Signals before the 2020 Changqing M4.1 Earthquake

LI Hui-ling¹, ZHANG Ming¹, LIN Xiu-na¹, CHEN Hong-kai¹, WEI jin², YAN Ming-hao¹

1. Tai'an Earthquake Monitoring Center Station, Tai'an 271000, China;
2. Institute of Seismology, CEA, Wuhan 430071, China

Received:2022-11-09 Revised:2023-02-13 Online:2023-07-31 Published:2023-08-28

摘要/Abstract

摘要： 地震前重力仪可能记录到与震源有关的高频扰动信号。 2020年2月18日山东长清发生M4.1地震, 距离震中约52 km的泰安站PET重力仪记录数据在震前5 d出现能量增强、 DF地脉动垂直位移增大(0.13×10^-6 m)的现象。为了厘清该现象与长清地震的关系, 本文首先对2020年2月的重力数据进行0~0.5 Hz频段的时频分析并计算了DF脉动信号垂直位移, 得到结果与地震背景噪声能量辐射的全球模型(ASSM)同步; 在排除台风影响, 对比分析嘉祥台重力数据和泰安站JCZ-1地震计垂直向加速度记录数据, 同时结合芝罘海洋观测站数据, 判定该信号源自海浪激发的脉动信号。泰安站重力仪DF地脉动垂直位移均方差作为预测指标的R值检验, 结果表明该DF信号的增强不符合异常识别指标, 与2020年长清M4.1地震无关。本文对重力数据变化的分析方法和流程, 以及对造成数据变化信号源的判定方法和思路, 为重力仪观测数据的异常识别和判定提供了参考, 可应用于相关地震分析预报工作。

关键词: DF地脉动信号, PET重力仪, ASSM模型, 2020年长清M4.1地震, R值评分

Abstract: Before an earthquake, the gravimeter may record high-frequency disturbance signals related to the source. On February 18, 2020, an M4.1 earthquake occurred in Changqing, Shandong Province. The observation data of PET gravimeter at Tai'an station, about 52 km away from the epicenter, showed energy enhancement and the vertical displacement of DF ground pulsation increased (0.13×10^-6m) since 5 days before the earthquake. In order to clarify the relationship between this phenomenon and the Changqing earthquake, time-frequency analysis in the 0.1~0.5 Hz frequency band is carried out to the gravity data in February 2020 and the vertical displacement of the DF pulsation signal is calculated. The results are synchronized with the global model of seismic background noise energy radiation (ASSM); After excluding the influence of typhoon, comparatively analyzing of the gravity data of Jiaxiang station and the vertical component acceleration data of JCZ-1 seismometer at Tai'an station, obtaining weather information and wave height data, the pulsation signal excited by the signal source from the wave is determined. The mean square deviation of the DF vertical displacement of the gravimeter in Tai'an station is used as the prediction index to test the R-value. The result shows that this phenomenon is not related to the 2020 Changqing M4.1 earthquake. The analysis methods and processes of gravity data change, as well as the methods and ideas for determining the signal source that causes data change in this paper, provide a reference for the anomaly identification and determination of gravimeter observation data, which can be applied to seismic analysis and prediction in related situations.

Key words: DF microseisms, PET gravimeter, ASSM model, the 2020 Changqing M4.1 earthquake, R-value evaluation

中图分类号:

P315.7

李惠玲, 张明, 林秀娜, 陈洪凯, 韦进, 闫明豪. 2020年山东长清M4.1地震前DF地脉动信号的变化特征[J]. 地震, 2023, 43(3): 138-149.

LI Hui-ling, ZHANG Ming, LIN Xiu-na, CHEN Hong-kai, WEI jin, YAN Ming-hao. Analysis of Variation Characteristics of DF Microseisms Signals before the 2020 Changqing M4.1 Earthquake[J]. EARTHQUAKE, 2023, 43(3): 138-149.

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2020年山东长清M4.1地震前DF地脉动信号的变化特征

Analysis of Variation Characteristics of DF Microseisms Signals before the 2020 Changqing M4.1 Earthquake

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