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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal characteristics and multiple coupling mechanisms of pre-seismic ionospheric electromagnetic anomalies before the Madoi earthquake

Kaiguang Zhu, Donghua Zhang, Baiyi Yang, Yuqi Cheng et al.
Geomatics Natural Hazards and Risk
Earthquake Detection and Analysis
article

Spatiotemporal characteristics and multiple coupling mechanisms of pre-seismic ionospheric electromagnetic anomalies before the Madoi earthquake

Kaiguang Zhu, Donghua Zhang, Baiyi Yang, Yuqi Cheng, Xingsu Li, Yiqun Zhang, Wenqi Chen, Pu Wang
article en

Abstract

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.

Geomatics Natural Hazards and RiskVol. 17(1)
Jilin University (CN), Jilin Medical University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 29%
Earthquake Detection and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatiotemporal characteristics and multiple coupling mechanisms of pre-seismic ionospheric electromagnetic anomalies before the Madoi earthquake — Kaiguang Zhu, Donghua Zhang, et al. · Geomatics Natural Hazards and Risk (2026) | TGRS Research Map | TGRS