A multiple fracture model of pre-seismic electromagnetic phenomena

Morgounov, V. A.; Malzev, S.A.

doi:10.1016/j.tecto.2006.05.030

Cited by 35 publications

(21 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 1. The earthquakes occurrence in Japan and their pre-seismic geomagnetic signature illustrated in Fig.5 and Fig.6 EMSC -European Mediterranean Seismological Centre; M -earthquake magnitude; ED -epicentral distance related to MMB and KAK; R*-epicentral distance at which the pre-seismic effect is felt, according to [15]; the dark grey rows emphasise the earthquakes with ED≤R*.…”

Section: Resultsmentioning

confidence: 99%

“…The MMB, KAK and PS observatories have the geographic coordinates (43°54'36" N, 144°11'9" E), (36°13'56" N, 140°11'11" E) and (45 0 9'21" N, 25 0 37'45" E), being located towards north-east, south-west and far north-west, respectively, of the M9.0 earthquake epicentre, as shown in Fig.2, and the criteria of selection are: (i) Possibility to obtain geomagnetic data at MMB and KAK via internet (www.intermagnet.org) and in real-time for the PS; (ii) Long-range effect of strain-related to the pre-seismic geomagnetic signature obtained by using the approach R*[km] = 10 0.5M-0.27 , as in [15], where R* is the epicentral distance and M is the earthquake magnitude (in our case M=9 and R* ≈ 17,000km); (iii) Possibility to investigate the dimensionality characteristics of the geoelectric structure under the measuring sites (MMB, KAK and PS) and to identify the frequency range for which (1) is valid. For the PS observatory, the dimensionality characteristics of the geoelectric structure were investigated by using single-site magnetotelluric tensor impedance decomposition [1] and, applying the MAPROS software packages [22], it was shown that in the frequency range 0.001-0.0166 Hz the skewness values are less than 0.3, what means that the geoelectric structure is of 2-D type, having a strike orientation of about N96 0 E. Thus, to satisfy (1), at the PS observatory one of the horizontal geomagnetic components is always orientated perpendicular to the geoelectric strike of the Carpathian Electrical Conductivity Anomaly (CECA), which on the Romanian territory is delineated by the divergence zone of the induction arrows, Wiese convention [19].…”

Section: Geomagnetic Data Collection and Analysismentioning

confidence: 99%

“…In this paper, in order to emphasize the long-range effect of strain-related precursors, we will consider both the approach R* [km] = 10 0.5M-0.27 (where R* is the epicentral distance and M is the earthquake magnitude) as stipulated in [15] and, a comparative statistical analysis applied to the Bzn time series obtained at the three observation sites (Memambetsu, Kakioka and Provita de Sus). On 11 March 2011, a giant earthquake of M9 struck the Japan and both the Japan Meteorological Agency (JMA) and US Geological Survey (USGS) placed the hypocentre of the main shock near the northeast coast of Honshu, at the geographic coordinates 38.322°N, 142.369°E and about 24.4 km depth, as illustrated in Fig.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Long-Range Anomalous Electromagnetic Effect Related to M9 Great Tohoku Earthquake

Stănică¹,

Vladimirescu²

2015

EARTH

View full text Add to dashboard Cite

It is supposed that prior to a large earthquake its focus may send through the Earth lithosphere a long-range effect of strain-related to transient electric signals, which in turn give rise to geomagnetic variations propagated over a wide range of frequencies. Consequently, to confirm long-range electromagnetic anomalous effect related to the M9 Great Tohoku earthquake occurred on 11 March 2011, we retrospectively analyzed the geomagnetic data collected at three observatories placed in Japan (Memambetsu, Kakioka) and Romania (Provita de Sus). The daily mean distributions of the normalized function Bzn and its standard deviation (STDEV) for all the three observatories are performed in the ultra-low frequency range (0.001-0.016Hz) by using the FFT band-pass filter analysis. Additionally, a comparative statistical analysis, based on a standardized random variable equation, was applied to the Bzn time series to emphasize a possible pre-seismic anomalous interval and, consequently, a peak greater than 2.5·STDEV, related to the M9 Tohoku earthquake, was identified on 5-6 February 2011. The lead time was 32 days before the earthquake occurrence. The final conclusion is that the detection area of the pre-seismic electromagnetic effect could be extended to the considerable distances from the epicenter of a giant earthquake.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Geomagnetic Data Collection and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Long-Range Anomalous Electromagnetic Effect Related to M9 Great Tohoku Earthquake

Stănică¹,

Vladimirescu²

2015

EARTH

View full text Add to dashboard Cite

show abstract

“…If in relation (3) it is assumed that the Earth's lithosphere has an average conductivity of about 10 -2 S/m and f = 0.001 Hz (minimum value in ULF range), then the geomagnetic signal generated in Vrancea's seismogenic volume, at about 160 km depth, can reach to the GOPS. To identify the distance for pre-seismic signal detection, depending on the earthquake magnitude, we used the Morgunov and Malzev (2007) relation:…”

Section: Basic Concept Of the Geomagnetic Precursormentioning

confidence: 99%

Pre-seismic geomagnetic and ionosphere signatures related to the Mw5.7 earthquake occurred in Vrancea zone on September 24, 2016

et al. 2018

View full text Add to dashboard Cite

To emphasize the relationship between the pre-seismic geomagnetic signals and Vrancea seismicity, in this work it is hypothesized that before an earthquake initiation, the high stress reached into seismogenic volume generates dehydration of the rocks and fracturing processes followed by release of electric charges along the faulting systems, which lead to resistivity changes. These changes were explored on September 2016 by the normalized function Bzn obtained from the geomagnetic data recorded in ULF range (0.001-0.0083 Hz). A statistical analysis was also performed to discriminate on the new Bzn* time series a pre-seismic signature related to the Mw5.7 earthquake. Significant anomalous behavior of Bzn* was identified on September 21, with 3 days prior to the onset of the seismic event. Similar information is provided by registrations of the magnetic and electron concentration variations in the ionosphere over the Vrancea zone, by Swarm satellites, 4 days and 1 day before the earthquake.

show abstract

“…The critical phenomena and fractal characteristics of EMR have been observed before seismic or rock fracture Rabinovitch et al, 2001;Kapiris et al, 2003;Uritsky et al, 2004;Kapiris et al, 2004a, b;Gotoh et al, 2004;Eftaxias et al, 2007;Muto et al, 2007). Some scholars have considered that the critical phenomena of EM emission are related to crack opening and expansion, as well as fractal structure Nanjo and Nagahama, 2004a, b;Kapiris et al, 2004a, b;Morgounov and Malzev, 2007;Kawada et al, 2007;Minadakis et al, 2012). Uritsky et al (2004) proposed a simple framework for modeling ultra-low frequency (ULF) electromagnetic emission signals associated with abrupt changes in the large-scale geometry of stress distribution before characteristic seismic events.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal multifractal characteristics of electromagnetic radiation in response to deep coal rock bursts

Wang

Liu

2014

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Dynamic collapses of deeply mined coal rocks are severe threats to miners; in order to predict collapses more accurately using electromagnetic radiation (EMR), we investigate the spatiotemporal multifractal characteristics and formation mechanism of EMR induced by underground coal mining. Coal rock in the burst-prone zone often exchanges materials (gas, water and coal) and energy with its environment and gradually transitions from its original stable equilibrium structure to a nonequilibrium dissipative structure with implicit spatiotemporal complexity or multifractal structures, resulting in temporal variation in multifractal EMR. The inherent law of EMR time series during damage evolution was analyzed by using time-varying multifractal theory. Results show that the time-varying multifractal characteristics of EMR are determined by damage evolution processes. Moreover, the dissipated energy caused by the damage evolutions, such as crack propagation, fractal sliding and shearing, can be regarded as the fingerprint of various EMR micro-mechanics. The dynamic spatiotemporal multifractal spectrum of EMR considers both spatial (multiple fractures) and temporal (dynamic evolution) characteristics of coal rocks and records the dynamic evolution processes of rock bursts. Thus, it can be used to evaluate the coal deformation and fracture process. The study is of significance for us to understand the EMR mechanism in detail and to increase the accuracy of the EMR method in forecasting dynamic disasters.

show abstract

A multiple fracture model of pre-seismic electromagnetic phenomena

Cited by 35 publications

References 26 publications

Long-Range Anomalous Electromagnetic Effect Related to M9 Great Tohoku Earthquake

Long-Range Anomalous Electromagnetic Effect Related to M9 Great Tohoku Earthquake

Pre-seismic geomagnetic and ionosphere signatures related to the Mw5.7 earthquake occurred in Vrancea zone on September 24, 2016

Spatiotemporal multifractal characteristics of electromagnetic radiation in response to deep coal rock bursts

Contact Info

Product

Resources

About