Natural Time Analysis: Results Related to Two Earthquakes in Greece during 2019

Sarlis, N. V.; Skordas, E. S.; Varotsos, P.

doi:10.3390/iecg2019-06194

Cited by 3 publications

(2 citation statements)

References 41 publications

(80 reference statements)

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“…Both spatial and spatio temporal earthquake predictions have been made in [102] using machine learning methodologies. Reference [103] presented a natural time analysis of seismic-electric signal emerged before two earthquake events for the prediction of next expected earthquake events.The density of foreshocks and aftershocks has been analysed in [72] for prediction of future earthquakes that may occur in the selected seismically active regions.…”

Section: Discussionmentioning

confidence: 99%

Earthquake Prediction Using Expert Systems: A Systematic Mapping Study

2020

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Earthquake is one of the most hazardous natural calamity. Many algorithms have been proposed for earthquake prediction using expert systems (ES). We aim to identify and compare methods, models, frameworks, and tools used to forecast earthquakes using different parameters. We have conducted a systematic mapping study based upon 70 systematically selected high quality peer reviewed research articles involving ES for earthquake prediction, published between January 2010 and January 2020.To the best of our knowledge, there is no recent study that provides a comprehensive survey of this research area. The analysis shows that most of the proposed models have attempted long term predictions about time, intensity, and location of future earthquakes. The article discusses different variants of rule-based, fuzzy, and machine learning based expert systems for earthquake prediction. Moreover, the discussion covers regional and global seismic data sets used, tools employed, to predict earth quake for different geographical regions. Bibliometric and meta-information based analysis has been performed by classifying the articles according to research type, empirical type, approach, target area, and system specific parameters. Lastly, it also presents a taxonomy of earthquake prediction approaches, and research evolution during the last decade.

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Section: Discussionmentioning

confidence: 99%

Earthquake Prediction Using Expert Systems: A Systematic Mapping Study

2020

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“…Even though these measurements provide valuable information about the way of current earth deformation for researchers, they have no answer for the causes of these deformations. Furthermore, these measurements cannot determine and justify the future or past tectonic earth behavior [1]. Therefore, different branches of earth sciences apply the mathematics and physics-based models.…”

Section: Introductionmentioning

confidence: 99%

Earthquake prediction modeling using dynamic changes (Case Study: Alborz Region)

2021

IJE

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This study aims to investigate the computational effect of Earth's viscosity on the Coulomb stress changes. Therefore, several large earthquakes in the Alborz region are selected and Coulomb stress changes are calculated in them, then the Coulomb stress temporal changes are shown by assuming the earth as an elastic layer on a viscous-elastic half-space. The spatial and temporal changes of the crustal deformation process associated with earthquakes depend on several parameters including the thickness of the lithosphere, viscosity of the asthenosphere, and dip angle of fault. The findings of this study are presented by determining the impact of modeling results on each of the input parameters through the sensitivity analysis of co-seismic and post-seismic deformation due to the dip-slip and strike-slip faulting. In addition to the useful results reported for the impact of parameters, the obtained results indicate the occurrence of numerous aftershocks in a region with increased Coulomb stress from 0.1 to 0.8 bar and the non-occurrence or low-occurrence of aftershocks in a region with reduced Coulomb stress. In addition to the predicted locations of aftershocks, it is also possible to determine the location of the next major earthquake using Coulomb stress change calculations.

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Space–Time Variations of the Apparent Resistivity Associated with Seismic Activity by Using 1D-Magnetotelluric (MT) Data in the Central Part of Colombia (South America)

et al. 2023

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In this work, we apply multi-temporal 1D-magnetotelluric (MT) surveys to estimate the space–time variations of the apparent resistivity and correlate these changes with seismic activity in the central part of Colombia (South America). We use the time series of the Earth’s natural electric and magnetic fields registered at two MT stations of the National University of Colombia Seismological Network (RSUNAL), located in the Eastern Andean Cordillera, in the central part of Colombia, over several days. Assuming that large earthquakes may generate these types of anomalies, we identified positive results for the Mesetas earthquake (Mw6.0, Lon = 74.184° W, Lat = 3.462° N, H = 13 km-depth, 24 December 2019, UTC 19:03:55), with anomalies registered eight hours before the mainshock. The depth at which the resistivity anomaly was identified coincides with the depth of the earthquake hypocenter. The origin of these anomalies may be associated with the migration of fluids due to the change in the stress regime before, during, and after the earthquake. We hypothesize that before the occurrence of an earthquake, the stress field generates pore pressure gradients, promoting alterations in fluid migration that change the resistivity of the upper crust.

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Natural Time Analysis: Results Related to Two Earthquakes in Greece during 2019

Cited by 3 publications

References 41 publications

Earthquake Prediction Using Expert Systems: A Systematic Mapping Study

Earthquake Prediction Using Expert Systems: A Systematic Mapping Study

Earthquake prediction modeling using dynamic changes (Case Study: Alborz Region)

Space–Time Variations of the Apparent Resistivity Associated with Seismic Activity by Using 1D-Magnetotelluric (MT) Data in the Central Part of Colombia (South America)

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