近日，长江大学胡文宝团队利用常设MT台站观测数据识别和定位发震电磁异常。2024年4月15日，国际知名学术期刊《中国科学：地球科学》发表了这一成果。

研究人员对丽江大地电磁台站(MT)响应的综合分析表明，在特定频段内视电阻率和相位，SEM辐射会在电磁(EM)光谱中引起可识别的异常。研究利用大理和丽江MT台站的长期观测数据中提取的环境变化，识别云龙和漾濞地震相关的SEM异常。

研究采用差分蚁群优化算法(DACO)对两个多频率、不同响应函数的台站异常数据进行处理，得到了地下偶极子源的多个参数。这些预测偶极子的空间分布主要集中在发震区内或其周围，其方位角方向总体上与发震断层方向一致。本研究证明了将地下电偶极子模拟用于SEM辐射分析的潜力，为预测和理解发震带提供了可行的方法。

据介绍，地下任意取向的电偶极子常被用来模拟，地震带孕育阶段的地震电磁(SEM)辐射。

附：英文原文

Title: Identifying and localizing of seismogenic electromagnetic anomalies from data observed by permanent MT stations

Author: Bing HAN, Wenbao HU, Guoze ZHAO, Ji TANG

Issue&Volume: 2024/04/15

Abstract: In this research, an arbitrarily oriented electric dipole at subsurface is used to simulate Seismogenic Electromagnetic (SEM) radiation emanating from a seismic zone during its gestation phase. Analytical synthesis of responses at the Lijiang magnetotelluric (MT) station has revealed that SEM radiation could induce identifiable anomalies in the electromagnetic (EM) spectrum, apparent resistivity and phase within specific frequency bands. Background variations were extracted from long-term observation data of Dali and Lijiang MT stations, enabling the identification of SEM anomalies related to the Yunlong and Yangbi earthquakes. Multiple parameters of dipole sources at subsurface were obtained by applying the Differential Ant Colony Optimization (DACO) algorithm to anomalous data of two stations with multi-frequencies and various response functions. The spatial distribution of these predicted dipoles is predominantly clustered in or around the seismogenic area, with their azimuthal orientation aligning towards the seismogenic fault in general. This study has demonstrated the potential of using subsurface electric dipole simulations for SEM radiation analysis, offering a feasible approach for the prediction and understanding of seismogenic zones.

DOI: 10.1007/s11430-023-1285-4

Source: https://www.sciengine.com/10.1007/s11430-023-1285-4