Citation
Abstract
In this study, we improved and adapted existing signal processing methods on vast geomagnetic field data to investigate the correlations between various earthquake properties and characteristics of possible geomagnetic precursors. The data from 10 magnetometer stations were utilized to detect precursory ultra-low frequency emission and estimate the source direction for 34 earthquakes occurring between the year 2007–2016 in Southeast Asia, East Asia, and South America regions. As a result, possible precursors of 20 earthquakes were identified (58.82% detection rate). Weak correlations were obtained when all precursors were considered. However, statistically significant and strong linear correlations (r ≥ 0.60, p < 0.05) were found when the precursors from two closely located stations in Japan (Onagawa (ONW) and Tohno (TNO)) were exclusively investigated. For these stations, it was found that the lead time of the precursor is strongly (or very strongly) correlated with the earthquake magnitude, the local seismicity index, and the hypocentral depth. In addition, the error percentage of the estimated direction showed a strong correlation with the hypocentral depth. It is concluded that, when the study area is restricted to a specific location, the earthquake properties are more likely to have correlations with several characteristics of the possible precursors.
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Official URL or Download Paper: https://www.mdpi.com/2218-1997/7/1/20
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Science |
DOI Number: | https://doi.org/10.3390/universe7010020 |
Publisher: | Multidisciplinary Digital Publishing Institute |
Keywords: | Earthquake precursor; Geomagnetic ultra-low frequency (ULF); Polarization ratio analysis; Polarization ellipse |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 11 Jan 2023 08:36 |
Last Modified: | 11 Jan 2023 08:36 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/universe7010020 |
URI: | http://psasir.upm.edu.my/id/eprint/96549 |
Statistic Details: | View Download Statistic |
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