scholarly journals Analisis Big Data Geomagnetik Dengan Metode Diferensiasi Sebagai Prekursor Gempa Lombok Tahun 2018

2021 ◽  
pp. 155-167
Author(s):  
Dwi Ratnasari ◽  
Helmy Amalia Ariesta ◽  
Teti Zubaidah ◽  
Bulkis Kanata ◽  
Made Sutha Yadnya ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Big Data ◽  
Low Frequency ◽  
Big Data Analysis ◽  
Disaster Mitigation ◽  
Geomagnetic Observatory ◽  
Geomagnetic Data ◽  
The Difference ◽  
Large Earthquakes ◽  
Geomagnetic Anomaly

Lombok is an area with the highest geomagnetic anomaly in Indonesia (Zubaidah et al., 2014). From the end of July to the end of August 2018, Lombok experienced a series of fairly large earthquakes. Identification of geomagnetic signals, especially in the Ultra Low Frequency (ULF) spectrum, can be used as earthquake precursors (Saroso, 2010). Intermagnet IAGA (International Aeronomy Geomagnetic Association) is a network of international geomagnetic observatory stations that have large world geomagnetic data. Big data analysis is very important because very large information is needed in disaster mitigation. This study uses geomagnetic data per second for 24 hours from 28 August to 30 November 2018 taken from Kakadu (KDU) Australia and Nurul Bayan Station (NRB) Lombok. The analytical method used is Differentiation by calculating the F value (total magnetic field) for KDU and NRB, then look for the difference and analyze the pattern. The results found that there was an anomaly phenomenon of the Earth's magnetic field in Nurul Bayan Lombok which was detected for 17 days during October 2018.  

scholarly journals Comment on "Ultra low frequency (ULF) electromagnetic anomalies associated with large earthquakes in Java Island, Indonesia by using wavelet transform and detrended fluctuation analysis" by Febriani et al. (2014)

2015 ◽  
Vol 15 (12) ◽  
pp. 2697-2701 ◽  
Author(s):  
F. Masci ◽  
J. N. Thomas
Keyword(s):  
Magnetic Field ◽  
Detrended Fluctuation Analysis ◽  
Field Data ◽  
Low Frequency ◽  
Fluctuation Analysis ◽  
Geomagnetic Disturbances ◽  
Magnetic Field Data ◽  
Seismic Origin ◽  
Detrended Fluctuation ◽  
Large Earthquakes

Abstract. We examine the recent report of Febriani et al. (2014) in which the authors show changes in ULF magnetic field data prior to the M7.5 Tasikmalaya earthquake that occurred south of Java, Indonesia, on 2 September 2009. Febriani et al. (2014) state that the magnetic changes they found may be related to the impending earthquake. We do not agree that the pre-earthquake magnetic changes shown in Febriani et al. (2014) are seismogenic. These magnetic changes, indeed, are too closely related to global geomagnetic disturbances to be regarded as being of seismic origin.

Establishing the Advanced Disaster Reduction Management System by Fusion of Real-Time Disaster Simulation and Big Data Assimilation

2016 ◽  
Vol 11 (2) ◽  
pp. 164-174 ◽  
Author(s):  
Shunichi Koshimura ◽  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Assimilation ◽  
Real Time ◽  
Big Data Analysis ◽  
Disaster Mitigation ◽  
Observation Data ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Analysis Platform

A project titled “Establishing the advanced disaster reduction management system by fusion of real-time disaster simulation and big data assimilation,” was launched as Core Research for Evolutional Science and Technology (CREST) by the Japan Science and Technology Agency (JST). Intended to save as many lives as possible in future national crises involving earthquake and tsunami disasters, the project works on a disaster mitigation system of the big data era, based on cooperation of large-scale, high-resolution, real-time numerical simulations and assimilation of real-time observation data. The world’s most advanced specialists in disaster simulation, disaster management, mathematical science, and information science work together to create the world’s first analysis platform for real-time simulation and big data that effectively processes, analyzes, and assimilates data obtained through various observations. Based on quantitative data, the platform designs proactive measures and supports disaster operations immediately after disaster occurrence. The project was launched in 2014 and is working on the following issues at present.Sophistication and fusion of simulations and damage prediction models using observational big data: Development of a real-time simulation core system that predicts the time evolution of disaster effect by assimilating of location information, fire information, and building collapse information which are obtained from mobile terminals, satellite images, aerial images, and other new observation data in addition to sensing data obtained by the undersea high-density seismic observation network.Latent structure analysis and major disaster scenario creation based on a huge amount of simulation results: Development of an analysis and extraction method for the latent structure of a huge amount of disaster scenarios generated by simulation, and creation of severe scenarios with minimum “unexpectedness” by controlling disaster scenario explosion (an explosive increase in the number of predicted scenarios).Establishment of an earthquake and tsunami disaster mitigation big data analysis platform: Development of an earthquake and tsunami disaster mitigation big data analysis platform that realizes analyses of a huge number of disaster scenarios and increases in speed of data assimilation, and clarifies the requirements for operation of the platform as a disaster mitigation system.The project was launched in 2014 as a 5-year project. It consists of element technology development and system fusion, feasibility study as a next-generation disaster mitigation system (validation with/without introduction of the developed real-time simulation and big data analysis platform) in the affected areas of the Great East Japan Earthquake, and test operations in affected areas of the Tokyo metropolitan earthquake and the Nankai Trough earthquake.

scholarly journals Comment on "Ultra low frequency (ULF) electromagnetic anomalies associated with large earthquakes in Java Island, Indonesia by using wavelet transform and detrended fluctuation analysis", by Febriani et al. (2014)

2015 ◽  
Vol 3 (9) ◽  
pp. 5665-5675 ◽  
Author(s):  
F. Masci ◽  
J. N. Thomas
Keyword(s):  
Magnetic Field ◽  
Detrended Fluctuation Analysis ◽  
Field Data ◽  
Low Frequency ◽  
Activity Level ◽  
Fluctuation Analysis ◽  
Magnetic Field Data ◽  
Seismic Origin ◽  
Detrended Fluctuation ◽  
Large Earthquakes

Abstract. We examine the recent report of Febriani et al. (2014) where the authors show changes in ULF magnetic field data prior to the M7.5 Tasikmalaya earthquake occurred south of Java, Indonesia, on 2 September 2009. Febriani et al. (2014) state that the magnetic changes they found may be related to the impending earthquake. We do not agree that the preearthquake magnetic changes shown in Febriani et al. (2014) are seismogenic. These magnetic changes, indeed, are too closely related to the global geomagnetic activity level to be regarded as being of seismic origin.

scholarly journals Recent Observations of X-ray Emission from Galactic Binary Neutron Stars

2000 ◽  
Vol 195 ◽  
pp. 27-36 ◽  
Author(s):  
J. Swank
Keyword(s):  
Magnetic Field ◽  
Neutron Stars ◽  
Low Frequency ◽  
Black Hole Candidate ◽  
High Frequency Oscillations ◽  
Low Mass ◽  
Binary Neutron Stars ◽  
The Difference ◽  
Low Magnetic Field ◽  
Quasiperiodic Oscillations

Recent measurements of young, accreting binary neutron stars are determining more precise magnetic field and accretion parameters. A low magnetic field, accreting, millisecond pulsar has finally been found in a binary burster. At least 20 low-mass binaries have exhibited high frequency oscillations, 300–1200 hertz. The majority have, for some range of luminosity, the pair of quasiperiodic oscillations that have never been seen in a black hole candidate. Recent evidence from burst oscillations strengthens the case that the difference frequency of this pair is close to the spin frequency of the neutron star. These oscillations are correlated with the spectra, luminosity, and low frequency oscillations. Quasiperiodic oscillations are also seen sometimes in strong magnetic field pulsars, where their origin can be closely examined.

Effects of a Switched Weak Magnetic Field on Lecithin Liposomes, Investigated by Nonlinear Dielectric Spectroscopy

2003 ◽  
Vol 58 (5-6) ◽  
pp. 386-394 ◽  
Author(s):  
Alexander Pazur
Keyword(s):  
Magnetic Field ◽  
Dielectric Spectroscopy ◽  
Weak Magnetic Field ◽  
Electric Pulse ◽  
Low Frequency ◽  
Signal Amplitude ◽  
Egg Yolk ◽  
Pulse Frequency ◽  
Electric Pulses ◽  
The Difference

Three types of liposomes in aqueous solution were subjected to a low frequency switched weak magnetic field. A differential non-linear dielectric spectroscopy (DNLDS) was performed at 40 °C with two planar orthogonal electrodes, positioned parallel and vertical to the earth surface. The difference of the free voltage release (FVR) signals for the two orthogonal directions following electric pulses with an amplitude of 1.0 V and a duration of 25 ms, were Fourier-transformed. An additional magnetic field was switched with a period of 400 ms and a variable amplitude from 0 to 100 G, whose direction was parallel to the vertical electrode plane. With two of the liposomes (egg yolk lecithin (EY), asolectin doped with cholesterol (ASCO)) a decrease of the signal amplitude with increasing magnetic fields could be seen in most of the 25 observed harmonic frequencies (relative to the electric pulse frequency f(0) = 40 Hz). For EY liposomes this decrease was highly significant and not linear for the 1.-5., and above the 20. harmonic frequency, ASCO liposomes showed a similar effect. Asolectin liposomes showed the reverse response. Quantum mechanical conditions of charges on the liposome surface are discussed as a possible origin of these effects.

scholarly journals The numerical simulation on ionospheric perturbations in electric field before large earthquakes

2014 ◽  
Vol 32 (12) ◽  
pp. 1487-1493 ◽  
Author(s):  
S. F. Zhao ◽  
X. M. Zhang ◽  
Z. Y. Zhao ◽  
X. H. Shen
Keyword(s):  
Magnetic Field ◽  
Electric Field ◽  
Electromagnetic Waves ◽  
Low Frequency ◽  
Topside Ionosphere ◽  
Ion Density ◽  
Frequency Wave ◽  
Theoretical Simulation ◽  
Electric And Magnetic Field ◽  
Large Earthquakes

Abstract. Many observational results have shown electromagnetic abnormality in the ionosphere before large earthquakes. The theoretical simulation can help us to understand the internal mechanism of these anomalous electromagnetic signals resulted from seismic regions. In this paper, the horizontal and vertical components of electric and magnetic field at the topside ionosphere are simulated by using the full wave method that is based on an improved transfer matrix method in the lossy anisotropic horizontally stratified ionosphere. Taken account into two earthquakes with electric field perturbations recorded by the DEMETER satellite, the numerical results reveal that the propagation and penetration of ULF (ultra-low-frequency) electromagnetic waves into the ionosphere is related to the spatial distribution of electron and ion densities at different time and locations, in which the ion density has less effect than electron density on the field intensity. Compared with different frequency signals, the minimum values of electric and magnetic field excited by earthquakes can be detected by satellite in current detection capability have also been calculated, and the lower frequency wave can be detected easier.

Effects of Low Frequency Magnetic Fields on Chick Embryos. Dependence on Incubation Temperature and Storage of the Eggs

1986 ◽  
Vol 41 (11-12) ◽  
pp. 1111-1116 ◽  
Author(s):  
Jukka P. Juutilainen
Keyword(s):  
Magnetic Field ◽  
Magnetic Fields ◽  
Incubation Temperature ◽  
Low Frequency ◽  
Chick Embryos ◽  
The Difference ◽  
Incubation Temperatures ◽  
And Control ◽  
And Storage ◽  
The Magnetic Field

Abstract Chick embryos were exposed to sinusoidally oscillating 100 Hz magnetic fields during their first two days of development. The magnetic field strength was 1 A/m. Incubation temperatures of 36.3, 37.0, 38.0 and 38.5 °C were used and the duration of the storage of the eggs before incuba­tion was varied from 1 hour to 4 days. After the incubation, the embryos were examined for abnormalities. When the temperature was 36.3 or 37.0 °C and the eggs were stored for one day or less, the effect of the magnetic field was statistically significant. In these conditions, the percent­ age of abnormal control embryos was low, 8% in 36.3 °C and 5% in 37.0 °C. In the exposed groups the corresponding percentages were 23% (36.3 °C) and 25% (37.0 °C). However, higher temperature and storage of the eggs for 3 to 4 days increased the percentage of abnormal embryos in both the exposed and control groups. The difference between the exposed and control embryos was not significant in these conditions. The results demonstrate the importance of the handling of the eggs in this kind of experiments.

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