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◆ Remote Sensing2026-03-28· TEC

Evaluation of Seismo-Ionospheric and Seismological Parameters Within the Lithosphere–Atmosphere–Ionosphere Coupling Framework for the 2025 Mw 7.7 Myanmar Earthquake

Roberto Colonna, Karan Nayak, Gopal Sharma, Rosendo Romero-Andrade

原始摘要(英文原文)· Original abstract
This study presents a comprehensive multi-parameter analysis of seismo-ionospheric responses to the Mw 7.7 Myanmar earthquake on 28 March 2025, using GNSS-based Total Electron Content (TEC) data, seismic b-value trends, and acoustic gravity wave (AGW) signatures. A significant negative TEC anomaly (~30 TECU below the statistical threshold) was detected on 25 March, three days before the mainshock under geomagnetically quiet conditions, indicating a lithospheric origin. Concurrent variations in the Ionospheric Disturbance Index (IDI) and Rate of TEC Index (ROTI) indicate pronounced background departures and enhanced short-term variability during the preparation phase. Temporal b-value analysis shows a consistent decline from 1.12 to 0.58 across the 30-year to 6-month windows, with the lowest values clustering near the epicenter, indicating progressive stress accumulation. Spatial b-value mapping further reveals a low b-value zone overlapping the region of TEC depletion, while the Relative Seismic Hazard Index (RSHI) highlights high-hazard zones aligned with the epicentral area. Kernel density estimation (KDE) supports this coupling by showing a dominant low-b, low-vTEC cluster, consistent with linked lithospheric stress and ionospheric depletion. Overall, the integrated GNSS and seismic analyses demonstrate the value of multi-domain observations for characterizing earthquake preparation processes, highlighting a coherent physical linkage between crustal stress accumulation and ionospheric depletion that can enhance short-term seismic hazard assessment.
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Evaluation of Seismo-Ionospheric and Seismological Parameters Within the Lithosphere–Atmosphere–Ionosphere Coupling Framework for the 2025 Mw 7.7 Myanmar Earthquake — 科研速览 Science Skim