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Earthquake prediction; Principles

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Earthquake prediction principles involve the scientific methods and theories used to forecast the occurrence, timing, and magnitude of earthquakes. This field integrates geological, seismological, and statistical analyses to identify patterns and precursors that may indicate imminent seismic activity.
lightbulbAbout this topic
Earthquake prediction principles involve the scientific methods and theories used to forecast the occurrence, timing, and magnitude of earthquakes. This field integrates geological, seismological, and statistical analyses to identify patterns and precursors that may indicate imminent seismic activity.

Key research themes

1. How do time-predictable models contribute to long-term earthquake prediction based on interevent times and magnitudes?

This research theme explores the validation and application of the time-predictable model, which posits that the interval between large earthquakes depends on the magnitude of the preceding mainshock. It matters because it offers a deterministic framework that can quantify the timing and magnitude of future large earthquakes over long-term horizons, improving probabilistic hazard forecasting based on empirical seismic data.

Key finding: This work applied the time and magnitude predictable model to 12 seismogenic sources in the North Pacific seismic zone, deriving quantitative formulas linking interevent time (Tt) with the smallest considered mainshock... Read more
Key finding: This study confirmed the applicability of the time-predictable model in 14 seismogenic sources along the western coast of South and Central America by establishing a log-linear relationship between repeat time T and... Read more
Key finding: This paper evaluated different probability distributions (Exponential, Pareto, Lognormal, Rayleigh, Gamma) to model recurrence times of large earthquakes (Ms ≥ 6.0) in Iranian seismotectonic provinces. By maximizing... Read more

2. How can machine learning techniques, particularly neural networks and ensemble classifiers, improve short-term earthquake prediction and magnitude estimation?

This theme reviews the growing application of machine learning (ML) methodologies—including artificial neural networks (ANNs), recurrent neural networks (RNNs), convolutional neural networks (CNNs), and ensemble classifiers such as Random Forest and XGBoost—to analyze seismic time series and precursor signals for short-term earthquake forecasting and magnitude estimation. It reflects the transition towards data-driven approaches leveraging large seismic datasets, aiming to enhance prediction accuracy and lead-time over traditional statistical models.

Key finding: This study utilized recurrent neural networks trained on seismic data (magnitude ≥ 3.0) from 1990-2022, integrating earthquake-specific b and d values, to classify and predict earthquakes in the Marmara region. The neural... Read more
Key finding: Comparing eight ML algorithms (Random Forest, Naive Bayes, Logistic Regression, MultiLayer Perceptron, AdaBoost, K-Nearest Neighbors, SVM, and CART) on real earthquake datasets, this paper found that no single model fit all... Read more
Key finding: Using feedforward, radial basis function, and recurrent neural networks, this research modeled magnitude prediction within a limited spatial and temporal domain. It critically analyzed the difficulty of predicting... Read more
Key finding: Applying six machine learning classifiers (including ANN, XGBoost, and Random Tree) to multiple Indian regional seismic datasets, the study achieved high magnitude prediction accuracies (e.g., 99.10% for Andaman & Nicobar... Read more
Key finding: This paper developed a convolutional neural network (CNN)-based method integrated with k-means clustering for earthquake early warning, focusing on rapid source location and magnitude estimation from waveform data. This... Read more

3. What novel statistical and data-driven approaches enhance the operational forecasting of earthquakes beyond classical empirical laws?

With advances in machine learning, statistical seismology, and geodetic monitoring, recent research seeks to improve earthquake forecasting through combining improved empirical models with machine learning methods and geodetic data. This theme includes methods such as the EEPAS model describing precursory seismicity rate increases, spatial statistics revealing latent fault structures, and cross-disciplinary use of gravitational field variations and geodetic surface displacements. The goal is to improve reliability and lead time of forecasts driven by complex spatiotemporal seismic patterns.

Key finding: This work presents the EEPAS model which captures the observed increase in minor earthquake rate preceding major events (the Ψ-phenomenon), employing scaling relations to probabilistically forecast earthquake rates months to... Read more
Key finding: This paper introduces an integrated GIS-based platform combining earthquake catalog data and GPS surface displacement time series for systematic regional earthquake prediction. Utilizing the method of minimum area of alarm... Read more
Key finding: The research identifies a statistically significant Apparent Strong Earthquake Pattern (ASEP) whereby high-magnitude earthquakes (≥6.5) tend to cluster in time and space along latitudes with similar absolute values, often... Read more
Key finding: This study demonstrated that gravitational field variations detected by ATROPATENA stations thousands of kilometers from epicenters preceded several mega-earthquakes in Asia and Southeast Asia. It established that... Read more

All papers in Earthquake prediction; Principles

Le metodologie di indagine geochimica applicate ad un'ampia porzione dell'Appennino meridionale, esteso dalla Calabria settentrionale ai Monti Nebrodi, nell'ambito del progetto INGV-DPC S2, hanno consentito di valutare le... more
The large-scale satellite data available for Umbria for the years 2019 to 2024 were analyzed. The data analyzed for ground motions are related to 2 series: the “European Ground Motion Service” system https://egms.land.copernicus.eu/ for... more
L’idea di partenza è quella di considerare il radiante del Tirreno Meridionale come fulcro di una leva di primo genere e come bracci di tale leva: Nuova Zelanda, Papua Nuova Guinea, Indonesia, Giappone, Corea del Nord, Croazia, Albania,... more
In questo articolo, descriviamo varie applicazioni della fisica della leva di primo genere, del piano inclinato e della puleggia ad alcuni fenomeni geofisici. Descriveremo anche un possibile modello statistico-matematico per lo studio e... more
Skin depth of electromagnetic (EM) wave depends on frequency of EM wave ν and electrical properties of rocks and minerals. Previous studies have theoretically assumed that the skin depth L α (ν) can be expressed as a function of frequency... more
By a pin-on-disk frictional experiment simulating the motion of an asperity on a fault plane, we observed photon emissions from the gap between the quartz disk and pins made of natural semiconductor or insulator minerals during friction.... more
In questo lavoro, in continuo aggiornamento, vengono analizzati numerosi eventi sismici. Si evidenziano le strette connessioni con importanti fasi planetarie e viene avvalorata ulteriormente la proposta della “Leva sismica” di primo... more
Sviluppo di un possibile modello statistico-matematico sullo studio e la previsione dei terremoti

v2 - 07.02.2025
The present paper deals with reliability of a gradient of atmospheric electric field potential as an indicator of seismic activity increase. With this in view, records of atmospheric electric field potential gradients of Caucasus region... more
Earthquakes are among the most devastating natural phenomena, causing immense destruction and loss of life. Despite extensive research and technological advancements, our understanding of the precise mechanisms behind these events... more
Analyses of ground displacements can help to define the evolution of areas affected by instability phenomena and identify their triggering factors. To this end, Synthetic Aperture RADAR (SAR) satellite data can be used to collect direct... more
NATURAL CATACLYSMS
AND GLOBAL PROBLEMS
OF THE MODERN
CIVILIZATION
Special edition of Transactions
of the International Academy of Science
H&E
Baku
Major components of natural environment are soil cover - products and localization place of «livings» and «nonlivings» [2,6]. Except soil, components of natural environment (NE) are geological medium, atmosphere air, surface and... more
A seguito del terremoto del 6 aprile sono state eseguite campagne di misure geochimiche con lo scopo di verificare le modificazioni indotte dal terremoto, le relazioni fluidi/strutture tettoniche e l'origine dei fluidi (Italiano et... more
espanolLa presencia de fenomenos electromagneticos inducidos por procesos mecanicos sobre ciertos materiales ha sido ampliamente estudiada desde el descubrimiento de la Piezoelectricidad a finales del siglo XIX. En la actualidad existe... more
The paper addresses a multidisciplinary approach to the monitoring of sinking phenomena in the city of Tuzla (Bosnia & Herzegovina) as a consequence of the exploitation of a salt deposit located beneath the urban area and related effects.... more
A long distance (200 km) electromagnetic signal occured at Keratea (near Athens), few days prior to the September 13th 1986, Kalamata earthquake. We suggest an explanation based on the fact that long range stress occuring before an... more
In the coupled electric interaction of rock fractures and gas invasion, that is, when gases interact with newly created crack surfaces, the unpaired electrons within the rock crystal defects are thermally stimulated, released into the... more
Recognition of seismic precursors is exigent task. Its study depends upon the environmental parameters, ground motion emissions (Low frequency signals), geological and tectonic structure. The theory of signal conductivity of two crust... more
È descritto un prototipo di PMU basato sull'impiego di un microcontrollore digitale sul quale è implementato un algoritmo per la stima dei sincrofasori in reti attive di distribuzione. È anche descritta un'applicazione... more
The paper addresses a multidisciplinary approach to the monitoring of sinking phenomena in the city of Tuzla (Bosnia & Herzegovina) as a consequence of the exploitation of a salt deposit located beneath the urban area and related effects.... more
The most probable cause of simultaneous anomalous radiations in electromagnetic and acoustic fields, different in nature, is intensification of deformation processes during strong earthquake preparation. To verify this fact, simultaneous... more
The results of geoacoustic emission investigations carried out on the seismoactive Kamchatka Peninsula since 1999 are presented. The experiments are characterized by the application of broadband piezoceramic sound receivers (hydrophones)... more
Riassunto GlobVolcano è un progetto finanziato dall'ESA (European Space Agency) nell'ambito del programma Data User Element (DUE). Il progetto è finalizzato alla realizzazione e dimostrazione di un servizio a scala globale, basato su dati... more
Observational studies from rock fractures to earthquakes indicate that fractures and many large earthquakes are preceded by accelerating seismic release rates (accelerated seismic deformation). This is characterized by cumulative Benioff... more
Observational studies from rock fractures to earthquakes indicate that fractures and many large earthquakes are preceded by accelerating seismic release rates (accelerated seismic deformation). This is characterized by cumulative Benioff... more
Earthquakes are invariably preceded by a period when stresses increase deep in the Earth. Animals appear to be able to sense impending seismic events. During build-up of stress, electronic charge carriers are activated deep below, called... more
In this study, an equivalent electric circuit model of Earth's upper crust is proposed to explain the behavior of measurement patterns acquired from network of the earthquake forecast project. A multi-layer capacitor model having active... more
We propose a new test of the critical earthquake model based on the hypothesis that precursory earthquakes are "actors" that create fluctuations in the stress field which exhibit an increasing correlation length as the critical large... more
Índice Portada Dedicatoria Introducción 1. Un error de predicción catastrófico 2. ¿Es usted más listo que los expertos de la tele? 3. A mí lo único que me importa son las victorias y las derrotas 4. Durante años nos han dicho que la... more
In addition to minor surface cracks in the region of the 8 July 1986 North Palm Springs earthquake, minor aseismic surficial rupture occurred along three segments of the San Andreas fault, 44 to 86 km southeast of the epicenter. Data from... more
Automatic observation systems for unusual animal behavior, which has been told as an earthquake precursor in folklores and retrospectively reported by citizens, have been constructed using infrared sensors and a CCD camera. The systems to... more
Five geoelectric potential difference (electric field, here after) monitoring stations have been in operation since September 1997 in an area near Liwa town, southern Sumatra, Indonesia, to examine the relationship between electric field... more
High resolution strain and tilt recordings were made in the near-field of. and prior to. the May 1983 Coahnga earthquake
The coseismic electromagnetic signals observed during the 2004 M w 6 Parkfield earthquake are simulated using electrokinetic theory. By using a finite fault source model obtained via kinematic inversion, we calculate the electric and... more
La Camera Spaziale Climatica (CSC) in allestimento ai LNF è un progetto integrato con applicazioni di fisica fondamentale e di ricaduta e trasferimento tecnologico per usi civili ed industriali . Nella CSC, infatti, si intendono studiare... more
ABSTARCT The study of resistivity relaxation before the impending earthquake events occurred during January-February 2005 in the Andaman-Sumatra subduction zone have proven the existence of the long range effects of strain related... more
Transient electromagnetic variations, observed at t he surface of the Earth are direct signatures of MHD waves and electric currents in the ionized envi ronment of the planet. At the same time, the temporal variation of the surface... more
The imminent WHEN earthquake predictions are based on the correlation between geomagnetic quakes and the incoming minimum (or maximum) of tidal gravitational potential. The probability time window for the incoming earthquake is for the... more
The paper aims at giving a few methodological suggestions in deterministic earthquake prediction studies based on combined ground-based and space observations of earthquake precursors. Up to now what is lacking is the demonstration of a... more
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