Spatially Local Pre-Seismic Magnitude Variance Compression: Evidence from the JMA Unified Catalog and Eight Additional Earthquake Catalogs

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Authors: Ramakrishna Pasupuleti
Cited by: 1
References: 23

Abstract

Abstract Whether detectable precursory changes in seismicity occur before large earthquakes remains one of the most debated questions in earthquake science. Here I introduce a simple, reproducible indicator: the rolling standard deviation of earthquake magnitudes computed within a spatial radius around each target mainshock. Using the JMA unified hypocenter catalog (2000–2023, M≥3.0, 178,577 events in the Japan region), I identify 288 M≥6.0 mainshocks isolated by ±60 days and 200 km from other M≥6.0 events. Within 100 km of each mainshock, the rolling standard deviation of magnitudes decreases by 7–11% at lags of 21, 14, 7, and 3 days before the event (p < 10⁻⁵, Benjamini–Hochberg FDR-significant at 4 of 5 tested lags). The suppression strengthens as the measurement radius shrinks from 300 km (−5%) to 50 km (−11%), consistent with a near-field preparation process. A quartile-based four-state classification reveals that the deeply compressed state (S4) is occupied 34% of the time before mainshocks versus 25% during background periods, and that once the system enters S4 before a mainshock, it persists there with significantly elevated probability (p < 0.00005). After the mainshock, 84% of post-event windows occupy the relaxed state (S1). The same pipeline applied to eight additional catalogs spanning subduction, strike-slip, continental collision, back-arc extension, oblique subduction, global, and intraplate settings reveals significant suppression in the San Andreas (−10.6%, p = 0.007) and Chile (−5.6%, p = 0.027) catalogs and a confirmed null in the intraplate control. These observations are consistent with progressive deformation localization and stress self-organization, and suggest that magnitude variance may provide an independent, complementary channel for earthquake monitoring.

Fields of Study & Subjects

earthquake and tectonic studies High-pressure geophysics and materials Earthquake Detection and Analysis

Publication details

Journal / source
Research Square
Publisher
Springer Science and Business Media LLC
Publication date
1 June 2026
Document type
Preprint