Electrical and magnetic data time series’ observations as an approach to identify the seismic activity of non-anthropic origin

Luis Hernán Ochoa,Alexander Caneva,Juan Manuel Solano Fino,Carlos Alberto Vargas Jiménez

doi:10.15446/esrj.v25n3.95782

Luis Hernán Ochoa, Alexander Caneva + Show 2 more

Open Access

https://doi.org/10.15446/esrj.v25n3.95782

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Abstract

In this work, the authors tried to identify a possible relationship between electromagnetic signals (EM) and seismic events in the lithospheric system in the central region of Colombia. The data, both seismic records and electromagnetic signals, were taken from the catalog of the Seismological Network of the National University of Colombia (RSUNAL) and the catalog of the National Seismological Network of Colombia (RSNC). The project included the design and instrument testing phases for recording seismic signals, electrical potential variations, and magnetic field variations to try to identify possible relationships between these signals. Possible electromagnetic precursors for seismic events were observed, mainly magnetic disturbances, but it was not possible to locate evident electrical anomalies (Seismic Electric Signals - SES). Thus, although the results are not conclusive, the magnetic disturbances identified deserve further long-term analysis.

Highlights

The forecast of seismic events implies estimating possible hypocentral parameters, the time of occurrence, and the magnitude of the predicted event
Measurements of electrical potential differences, performed using nonpolarizable dipoles, do not allow establishing a causal relationship regarding seismic events with Mw ≥ 4.2 for the period evaluated in this study
The gathered data yields inconclusive results regarding the behavior of electric field disturbances

Summary

Introduction

The forecast of seismic events implies estimating possible hypocentral parameters, the time of occurrence, and the magnitude of the predicted event Conducting this type of forecasting is a complex task that poses important challenges related to understanding the mechanics of earthquakes, the permanent variations in the field of efforts, and the technology strategy to be used. There has been remarkable progress in the techniques and methods used for earthquake forecasting on a global level Physical process models such as Accelerating Moment Release (AMR), variations in the b-value and the M8 family of algorithms, among others; as well as the smoothed seismicity models, whose most relevant techniques are 1) the time-independent smoothed seismicity, 2) the Relative Intensity (RI) model or 3) the Proportional Hazard Model (PHM), account for the variety of available options, whose study and statistical modeling generate promising results in the matter (Tiampo & Shcherbakov, 2012)

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