Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2021, Vol. 57 ›› Issue (5): 841-851.DOI: 10.13209/j.0479-8023.2021.078

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Correlation Analysis of Electromagnetic Disturbance and Earthquakes Based on AETA

YONG Shanshan, WANG Xin’an, GUO Qinmeng, LIU Cong, YANG Chao, WANG Jing, JIANG Binghui   

  1. The key Laboratory of Integrated Microsystems, Peking university Shenzhen Graduate School, Shenzhen 518055
  • Received:2020-09-22 Revised:2020-10-29 Online:2021-09-20 Published:2021-09-20
  • Contact: YONG Shanshan, E-mail: yongshanshan(at)


雍珊珊, 王新安, 郭琴梦, 刘聪, 杨超, 王晶, 蒋冰慧   

  1. 北京大学深圳研究生院集成微系统科学与工程应用实验室, 深圳 518055
  • 通讯作者: 雍珊珊, E-mail: yongshanshan(at)
  • 基金资助:


According to electromagnetic disturbance (EMD) data based on AETA, a multi-component seismic monitoring and prediction system, this paper conducts features analysis, anomalies identification and correlation analysis combining with seismicity. The result shows that EMD data are different with environmental noise and human noise. It might be generated by the change and movement of free charge near the surface according to the principle of magnetic sensor and the derivation of Maxwell’s equations. Take Jiuzhaigou Ms 7.0 earthquake and Changning Ms 6.0 earthquake in Yibin as examples, a determined connection between EMD anomalies and earthquake was found. Periodic SRSS and ultra-low frequency EMD along the relerant bands of the Longmenshan fault and Xianshuihe fault zones might imply a risk of strong earthquake. We also discuss the physical mechanism of the EMD source and suggest that it may be related to the overflow of charged particles from the molten mantle into the crust. Under movement of earth rotation and revolution, the daily periodic fluctuation of the sunrise and sunset will occur in a specific related latitude and longitude region or area close to epicenter.

Key words: AETA, electronic-magnetic disturbance, precursory anomaly identification, earthquake physical mechanism


基于多分量地震监测预测系统(AETA)进行电磁扰动观测(EMD), 通过观测数据特征分析和异常识别判定, 并结合地震事件进行相关性分析。结果表明, AETA电磁扰动观测数据与已知的环境噪声和人文噪声特征不符。基于磁传感器原理和麦克斯韦方程组推导, 提出信号可能来自近地表的自由电荷变化和运动。以九寨沟Ms 7.0级地震和宜宾长宁Ms 6.0级地震为例, 发现AETA电磁扰动均值异常与地震具有前兆相关性。其中, 日周期特性的SRSS波和电磁扰动超低频成分的出现与周边地区或龙门山断裂带以及鲜水河断裂带的强震风险相关。通过讨论信号源产生的物理机理, 认为日周期特性的SRSS波可能与来自地幔的熔融物质中带电粒子溢出至地壳有关, 在地球自转和公转综合作用下, 在震源附近或相关区域会产生与日升日落同步的日周期波动。

关键词: AETA, 地震电磁扰动, 前兆异常判别, 地震物理机理