scholarly journals Radon-222: A Potential Short-Term Earthquake Precursor

2015 ◽  
Vol 06 (06) ◽  
Author(s):  
Petraki E Nikolopoulos D
Keyword(s):  
Earthquake Precursor ◽  
Short Term

Mock-Up of Information Service for Automated Monitoring and Short-Term Forecasting of Severe Earthquakes in the Kamchatka-Sakhalin Region

2021 ◽  
Vol 8 (4) ◽  
pp. 3-15
Author(s):  
O. A. Alekseev ◽  
◽  
S. A. Pulinets ◽  
P. A. Budnikov ◽  
V. B. Serebriakov ◽  
...  
Keyword(s):  
Information Service ◽  
Test Site ◽  
Earthquake Precursor ◽  
Solar Radio Emission ◽  
Short Term ◽  
Thermal Anomalies ◽  
Automated Monitoring ◽  
Short Term Forecasting ◽  
The Times ◽  
Navigation Signals

The article is devoted to the analysis of the development and control of the operation of the functional mock-up of the information service for automated monitoring and short-term forecasting of severe earthquakes in the Kamchatka-Sakhalin region. The tasks of the service mock-up concerning the collection, processing of data on earthquake precursors, the forecasting of severe (earthquake magnitude 6 or more) earthquakes in the form of estimates of the times of their onset, coordinates of epicenters (latitude and longitude) and earthquake magnitudes are determined. Taking the geoinformational character of the initial data on the approaching earthquakes as the basis for constructing the mock-up of the service, a geo-integration platform is proposed. This allows the integration of the information resources of the earthquake precursor monitoring systems, the functions of processing monitoring information into earthquake forecasts, the results of generating earthquake forecasts and their presentation to consumers into a single geoinformation environment. The composition of the service mock-up and the functioning of such elements as microservices are considered: collection and processing data from receivers of radio navigation signals of the GPS/GLONASS systems; collection and processing of data on the global distribution of TEC in the ionosphere; collection and processing of data on geomagnetic conditions, the flux of solar radio emission, thermal anomalies, as well as data concerning the atmospheric anomalies over the test site area and a unit for presenting and communicating the results of the operation of the information service mock-up for automated monitoring and short-term forecasting of severe earthquakes. The results of service operation are illustrated with the help of examples of retrospective forecasting of a number of severe earthquakes that occurred over the past 10 years in the Kamchatka-Sakhalin region, according to their precursors.

scholarly journals Detection of Possible Short-Term Ionospheric Precursors of Strong Earthquakes Based on Changes in Diurnal Es Characteristics

2021 ◽  
Vol 61 (6) ◽  
pp. 896-904
Author(s):  
L. P. Korsunova ◽  
A. D. Legen’ka
Keyword(s):  
Measurement Data ◽  
Earthquake Precursor ◽  
Time Interval ◽  
Ordinary Wave ◽  
Diurnal Changes ◽  
Short Term ◽  
Strong Earthquakes ◽  
Earthquake Preparation ◽  
Crustal Earthquakes ◽  
The Pacific

Abstract The changes in two characteristics of the sporadic Е layer are studied for a pair of stations: the probability of the occurrence PEs and the limiting frequency of the ordinary wave of the sporadic E layer of the ionosphere foEs during a 10-day period of the preparation of 19 crustal earthquakes in the Pacific region with М = 6.5–7.4. The stations are located hundreds of kilometers from each other, but they fall within the zone of the preparation of a particular earthquake (the sizes of the earthquake preparation zone are estimated with formulas known in the scientific literature that relate the size of the radius of the earthquake preparation zone and the earthquake magnitude). The measurement data obtained at the ground stations of ionospheric vertical sounding are analyzed. The deviations of diurnal values of PEs (δPEs) from the median over the studied time interval and the integral diurnal values of the total irregular fluctuations in foEs (ΔfEsΣ) are used to identify possible ionospheric earthquake precursors. The coincidence of the time of appearance of the deviation maxima for both parameters before the earthquakes at each of the stations on the same day (from 1 to 4 days before the earthquake day) is recorded in the diurnal changes in the indicated values during the preparation periods of all of the considered earthquakes. The criteria for the identification of a short-term ionospheric earthquake precursor is discussed. Comparison of the analysis results for manual and automatic ionogram processing showed the prospects for the use the proposed parameters obtained according to the data of the distant ionosondes to identify the short-term ionospheric precursors of an earthquake with М = 6.5–7.0.

Anomaly detection of earthquake precursor data using long short-term memory networks

2019 ◽  
Vol 16 (3) ◽  
pp. 257-266 ◽  
Author(s):  
Yin Cai ◽  
Mei-Ling Shyu ◽  
Yue-Xuan Tu ◽  
Yun-Tian Teng ◽  
Xing-Xing Hu
Keyword(s):  
Anomaly Detection ◽  
Short Term Memory ◽  
Earthquake Precursor ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory

scholarly journals Seismic Reflection Analysis of AETA Electromagnetic Signals

2021 ◽  
Vol 11 (13) ◽  
pp. 5869
Author(s):  
Zhenyu Bao ◽  
Shanshan Yong ◽  
Xin’an Wang ◽  
Chao Yang ◽  
Jinhan Xie ◽  
...  
Keyword(s):  
Short Term Memory ◽  
Large Earthquake ◽  
Visual Observation ◽  
Earthquake Precursor ◽  
Electromagnetic Disturbance ◽  
Short Term ◽  
Yunnan Region ◽  
Typical Time ◽  
Long Short Term Memory ◽  
Electromagnetic Signals

Acoustic and electromagnetics to artificial intelligence (AETA) is a system used to predict seismic events through monitoring of electromagnetic and geoacoustic signals. It is widely deployed in the Sichuan–Yunnan region (22° N–34° N, 98° E–107° E) of China. Generally, the electromagnetic signals of AETA stations near the epicenter have abnormal disturbances before an earthquake. When a significant decrease or increase in the signal is observed, it is difficult to quantify this change using only visual observation and confirm that it is related to an upcoming large earthquake. Considering that the AETA data comprise a typical time series, current work has analyzed the anomalism of AETA electromagnetic signals using the long short-term memory (LSTM) autoencoder method to prove that the electromagnetic anomaly of the AETA station can be regarded as an earthquake precursor. The results show that there are 2–4% anomalous points and some outliers exceeding 0.7 (after normalization) in the AETA stations within 200 km of the epicenter of the Jiuzaigou earthquake (M. 7.0) and the Yibin earthquake (M. 6.0) half a month before the earthquakes. Therefore, the AETA electromagnetic disturbance signal can be used as an earthquake precursor and for further earthquake prediction.

Region-time-length algorithm and its application to the study of intermediate-short term earthquake precursor in North China

2004 ◽  
Vol 17 (2) ◽  
pp. 164-176 ◽  
Author(s):  
Jiang Hai-kun ◽  
Hou Hai-feng ◽  
Zhou Huan-peng ◽  
Zhou Cui-ying
Keyword(s):  
North China ◽  
Earthquake Precursor ◽  
Short Term ◽  
Time Length

scholarly journals On the electric field transient anomaly observed at the time of the Kythira <i>M</i>=6.9 earthquake on January 2006

2007 ◽  
Vol 7 (6) ◽  
pp. 677-682 ◽  
Author(s):  
A. Konstantaras ◽  
J. P. Makris ◽  
F. Vallianatos ◽  
M. R. Varley
Keyword(s):  
Electromagnetic Field ◽  
Electric Field ◽  
Electromagnetic Fields ◽  
Earthquake Precursor ◽  
Earthquake Precursors ◽  
Seismic Events ◽  
Short Term ◽  
Field Recordings ◽  
Near Space ◽  
Generation Mechanisms

Abstract. The study of the Earth's electromagnetic fields prior to the occurrence of strong seismic events has repeatedly revealed cases were transient anomalies, often deemed as possible earthquake precursors, were observed on electromagnetic field recordings of surface, atmosphere and near space carried out measurements. In an attempt to understand the nature of such signals several models have been proposed based upon the exhibited characteristics of the observed anomalies and different possible generation mechanisms, with electric earthquake precursors (EEP) appearing to be the main candidates for short-term earthquake precursors. This paper discusses the detection of a ULF electric field transient anomaly and its identification as a possible electric earthquake precursor accompanying the Kythira M=6.9 earthquake occurred on the 8 January 2006.

scholarly journals ANALISIS ANOMALI SINYAL ULTRA LOW FREQUENCY BERDASARKAN DATA PENGUKURAN GEOMAGNETIK SEBAGAI INDIKATOR PREKURSOR GEMPABUMI WILAYAH LAMPUNG TAHUN 2016

2020 ◽  
Vol 4 (2) ◽  
pp. 86-101
Author(s):  
Ulfa Wahyuningsih ◽  
Syamsurijal Rasimeng ◽  
Karyanto Karyanto
Keyword(s):  
Measurement Data ◽  
Low Frequency ◽  
Earthquake Precursor ◽  
Earthquake Precursors ◽  
Magnetic Data ◽  
Short Term ◽  
Horizontal Polarization ◽  
The Fourier Transform ◽  
Geomagnetic Anomaly

Regional research had been done to analysis anomalies signal of ultra low frequency based on measurement data as an indicator of the geomagnetic earthquake precursor of lampung in 2016. To achieve purpose of the study conducted by the following steps: (i) Calculation of the total magnetic field of data; (ii) Daily Trend Analysis; (iii) the Fourier transform of the data Geomagnetic Anomaly; (iv) Localization Frequency ULF; (v) Calculation of Ratio Vertical-Horizontal (Polarization Ratio Z / H); (vi) Correction magnetic storms or Disturbance Strom Time (DST); (vii) the identification of earthquake precursors; (viii) Determination of OnsetTime, leadtime,and the direction of precursors. The results of the analysis of ten earthquakes with a magnitude above 5 MW have precursors between 11 to 30 days before an earthquake. Nine out of ten earthquakes studied had an earthquake precursors and precursors that do not have, this is because the distance is too far from the station Magdas in Liwa, West Lampung. Thus it can be seen that the precursor using the magnetic data can be used to make short-term predictions.

Conceptual short-term memory (CSTM) supports core claims of Christiansen and Chater

2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter
Keyword(s):  
Working Memory ◽  
Rapid Serial Visual Presentation ◽  
Language Comprehension ◽  
Short Term Memory ◽  
Visual Presentation ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Use Of Knowledge

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.

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