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Physical phenomena observed before strong earthquake have been reported over centuries. Radon anomalies, electrical signals, water level changes, earthquake lights near the epicenter are recognized as pre-earthquake signals to approach…

地球物理 · 物理学 2020-10-27 Tao Chen , Lei Li , Xiao-Xin Zhang , Qi-Ming Ma , Shuo Ti , Han Wu

Terra Seismic can predict most major earthquakes (M6.2 or greater) at least 2 - 5 months before they will strike. Global earthquake prediction is based on determinations of the stressed areas that will start to behave abnormally before…

地球物理 · 物理学 2020-03-18 Oleg Elshin , Andrew A. Tronin

The mechanically oscillating, due to tidal forces, lithosperic plate activates, because of its high content in quartzite, the generation of a piezoelectric field. Due to the same mechanical oscillation the lithosphere is generally at a…

地球物理 · 物理学 2011-08-17 C. Thanassoulas , V. Klentos , G. Verveniotis , N. Zymaris

Smartphone-based earthquake early warning systems (EEWS) are emerging as a complementary solution to classic EEWS based on expensive scientific-grade instruments. Smartphone-based systems, however, are characterized by a highly dynamic…

应用统计 · 统计学 2022-10-28 Frank Yannick Massoda Tchoussi , Francesco Finazzi

Electromagnetic (EM) emissions in a wide frequency spectrum ranging from kHz to MHz are produced by opening cracks, which can be considered as the so-called precursors of general fracture. We emphasize that the MHz radiation appears earlier…

地球物理 · 物理学 2015-05-13 Y. F. Contoyiannis , C. Nomicos , J. Kopanas , G. Antonopoulos , L. Contoyianni , K. Eftaxias

The local when earthquake prediction is based on the connection between geomagnetic quakes and the next incoming minimum or maximum of tidal gravitational potential. The probability time window for the predicted earthquake is for the tidal…

地球物理 · 物理学 2020-11-04 S. Cht. Mavrodiev

Earthquake signals are non-stationary in nature and thus in real-time, it is difficult to identify and classify events based on classical approaches like peak ground displacement, peak ground velocity. Even the popular algorithm of STA/LTA…

信号处理 · 电气工程与系统科学 2021-01-19 Tonumoy Mukherjee , Chandrani Singh , Prabir Kumar Biswas

Earthquake Early Warning (EEW) systems can effectively reduce fatalities, injuries, and damages caused by earthquakes. Current EEW systems are mostly based on traditional seismic and geodetic networks, and exist only in a few countries due…

系统与控制 · 电气工程与系统科学 2024-12-20 Qingkai Kong , Qin Lv , Richard M. Allen

Android's Earthquake Alert (AEA) system provided timely early warnings to millions during the Mw 6.2 Marmara Ereglisi, T\"urkiye earthquake on April 23, 2025. This event, the largest in the region in 25 years, served as a critical…

Point processes have been dominant in modeling the evolution of seismicity for decades, with the Epidemic Type Aftershock Sequence (ETAS) model being most popular. Recent advances in machine learning have constructed highly flexible point…

地球物理 · 物理学 2023-10-04 Samuel Stockman , Daniel J. Lawson , Maximilian J. Werner

This paper studies the operation and scheduling of electric loads in micro-grid, a highly automated and distributed cyber-physical energy system (CPES). We establish rigorous mathematical expressions for electric loads and battery banks in…

系统与控制 · 计算机科学 2016-10-06 Zhenwu Shi , Ningshi Yao , Fumin Zhang

This document describes an approach to the problem of predicting dangerous seismic events in active coal mines up to 8 hours in advance. It was developed as a part of the AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in…

机器学习 · 计算机科学 2016-09-23 Robert Bogucki , Jan Lasek , Jan Kanty Milczek , Michal Tadeusiak

Several recent works point out that the crowd of small unobservable earthquakes (with magnitudes below the detection threshold $m_d$) may play a significant and perhaps dominant role in triggering future seismicity. Using the ETAS branching…

地球物理 · 物理学 2007-12-04 A. Saichev , D. Sornette

The results of an alternative methodology for making predictions about the COVID-19 pandemic in Greece are presented. Instead of focusing on the various population profiles (subjected to instabilities introduced by the fitting process),…

动力系统 · 数学 2023-12-13 Dimitris M. Manias , Dimitris G. Patsatzis , Dimitris A. Goussis

The Earthquake Network research project implements a crowdsourced earthquake early warning system based on smartphones. Smartphones, which are made available by the global population, exploit the Internet connection to report a signal to a…

应用统计 · 统计学 2016-06-29 F. Finazzi , A. Fassò

This study illustrates presents a set of the Long-Term Geoelectric Potential (LTGP) measurements that are collected for experimental investigation in Western Greece during a five-year period (1993-1997). During this period, many major…

信号处理 · 电气工程与系统科学 2018-04-11 Dimitrios Dechouniotis , Apostolos Ifantis

The epidemic-type aftershock sequence model (ETAS) is a simple stochastic process modeling seismicity, based on the two best-established empirical laws, the Omori law (power law decay ~1/t^{1+\theta} of seismicity after an earthquake) and…

统计力学 · 物理学 2009-11-07 A. Helmstetter , D. Sornette

The time of occurrence of the large EQ that occurred recently in Mexico (March 20th, 2012, Mw = 7.4) is compared to the peak amplitude occurrence time of the local M1 and K1 tidal components. It is shown that the specific EQ occurred one…

地球物理 · 物理学 2012-03-26 C. Thanassoulas , V. Klenvas , G. Verveniotis , N. Zymaris

Earthquake aftershock identification is closely related to the question "Are aftershocks different from the rest of earthquakes?" We give a positive answer to this question and introduce a general statistical procedure for clustering…

地球物理 · 物理学 2010-03-01 Ilya Zaliapin , Andrei Gabrielov , Vladimir Keilis-Borok , Henry Wong

The method of waveforms cross correlation (WCC) is used to detect signals from aftershocks of the August 14, 2016 earthquake within Sakhalin Island, which had local magnitude ML = 6.1. Arrivals of regular P- and S-waves detected by the WCC…

地球物理 · 物理学 2017-12-27 Ivan Kitov