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Abstract
Featured Application: Usage of Energy concentration on Time–Frequency Distributions of earthquake datasets to obtain diagnostic precursors. Earthquake prediction remains a significant challenge in seismology, and advancements in signal processing techniques have opened new avenues for improving prediction accuracy. This paper explores the application of Time–Frequency Distributions (TFDs) to seismic signals to identify diagnostic precursory patterns of major earthquakes. TFDs provide a comprehensive analysis of the non-stationary nature of seismic data, allowing for the identification of precursory patterns based on energy concentration features. Current earthquake prediction models primarily focus on long-term forecasts, predicting events by identifying a cycle in historical data, or on nowcasting, providing alerts seconds after a quake has begun. However, both approaches offer limited utility for disaster management, compared to short-term earthquake prediction methods. This paper proposes a new possible precursory pattern of major earthquakes, tested through analysis of recent major earthquakes and their respective prior minor earthquakes for five earthquake-prone countries, namely Türkiye, Indonesia, the Philippines, New Zealand, and Japan. Precursors in the time–frequency domain have been consistently identified in all datasets within several hours or a few days before the major earthquakes occurred, which were not present in the observation and analysis of the earthquake catalogs in the time domain. This research contributes towards the ongoing efforts in earthquake prediction, highlighting the potential of quadratic non-linear TFDs as a significant tool for non-stationary seismic signal analysis. To the best of the authors’ knowledge, no similar approach for consistently identifying earthquake diagnostics precursors has been proposed, and, therefore, we propose a novel approach in reliable earthquake prediction using TFD analysis.
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Official URL or Download Paper: https://www.mdpi.com/2076-3417/15/17/9325
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Engineering Institute for Mathematical Research |
DOI Number: | https://doi.org/10.3390/app15179325 |
Publisher: | Multidisciplinary Digital Publishing Institute (MDPI) |
Keywords: | Diagnostic precursor detection; Major earthquake precursors; Time–frequency distribution |
Depositing User: | Mohamad Jefri Mohamed Fauzi |
Date Deposited: | 06 Oct 2025 06:49 |
Last Modified: | 06 Oct 2025 06:49 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/app15179325 |
URI: | http://psasir.upm.edu.my/id/eprint/120580 |
Statistic Details: | View Download Statistic |
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