从永久 MT 台站观测到的数据中识别地震电磁异常并确定其位置

IF 6 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Bing Han, Wenbao Hu, Guoze Zhao, Ji Tang
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引用次数: 0

摘要

在这项研究中,利用地下任意方向的电偶极子来模拟地震带孕育阶段的地震电磁辐射(SEM)。对丽江磁测站(MT)的响应进行分析综合后发现,SEM 辐射可在特定频段内引起可识别的电磁(EM)频谱、视电阻率和相位异常。从大理和丽江 MT 站的长期观测数据中提取了背景变化,从而确定了与云龙和漾濞地震有关的扫描电镜异常。应用差分蚁群优化(DACO)算法对两个台站的多频率和不同响应函数的异常数据进行分析,获得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或发震区周围,其方位角方向一般朝向发震断层。这项研究证明了利用地下电偶极子模拟进行扫描电镜辐射分析的潜力,为预测和了解成震区提供了一种可行的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying and localizing of seismogenic electromagnetic anomalies from data observed by permanent MT stations

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.

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来源期刊
Science China Earth Sciences
Science China Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
9.60
自引率
5.30%
发文量
135
审稿时长
3-8 weeks
期刊介绍: Science China Earth Sciences, an academic journal cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and published by Science China Press, is committed to publishing high-quality, original results in both basic and applied research.
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