Spatiotemporal characteristics and multiple coupling mechanisms of pre-seismic ionospheric electromagnetic anomalies before the Madoi earthquake
Electromagnetic anomalies before earthquakes exhibit significant short-term characteristics. In this study, we first employed the non-negative matrix factorization (NMF) method to extract anomalies in the electric field, magnetic field, and electron density within the ionosphere. Then, to obtain earthquake-related anomalies, we propose a random matrix theory (RMT) anomaly distinction approach, which involves comparing the eigenvalue distribution of the ionospheric anomaly’s correlation matrix with that of a random matrix to remove earthquake-unrelated anomalies. Temporally, we observed that the pre-earthquake anomalies displayed sigmoidal growth between −65 and −25 days, followed by power-law growth from −20 days until the seismic event. Spatially, the anomalies exhibited a concentration pattern, migrating from the periphery of the study region toward the epicenter. Finally, the ionospheric anomalies were compared with multi-layer anomalies before the Madoi earthquake. We found three distinct phases, in the early phase, anomaly propagation through the lithosphere, atmosphere, and ionosphere followed an asynchronous chain process. In contrast, in the middle phase, anomalies appeared synchronously across the multi-layer. In the impending earthquake phase, the anomalies were directly coupled from the lithosphere to the ionosphere, which we hypothesize to be a new mechanism related to the dramatic decrease in Earth's resistivity.
Authors
- Kaiguang Zhu (ORCID: https://orcid.org/0000-0002-4674-8001)
- Donghua Zhang (ORCID: https://orcid.org/0000-0003-2959-9638)
- Baiyi Yang (ORCID: https://orcid.org/0009-0005-4297-1432)
- Yuqi Cheng
- Xingsu Li
- Yiqun Zhang
- Wenqi Chen
- Pu Wang
Institutions
- Jilin University (CN)
- Jilin Medical University (CN)
Publication Details
- Journal
- Geomatics Natural Hazards and Risk
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1080/19475705.2026.2649656
- Primary Topic
- Earthquake Detection and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China