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1.
Shebalin P. N. Gvishiani A. D. Dzeboev B. A. Skorkina A. A. 《Doklady Earth Sciences》2022,507(1):930-935
Doklady Earth Sciences - For the first time, a numerical comparison of the General Seismic Zoning (GSZ) maps with the effect of earthquakes that actually occurred after the publication of the maps... 相似文献
2.
A. D. Gvishiani B. A. Dzeboev N. A. Sergeyeva A. I. Rybkina 《Izvestiya Physics of the Solid Earth》2017,53(3):353-365
With the use of the modified version of the original algorithmic Formalized Clustering and Zoning (FCAZ) system, the areas prone to the probable emergence of the epicenters of significant earthquakes are recognized in the joint region of the Crimea and western part of the Northern Caucasus. The selection of this region is justified by the tectonic structure and the presence of the active junction zone of the meganticlinoria. The reliability of the obtained recognition is substantiated by the comparative analysis of the actual and random FCAZ-recognition. For the first time, the problem of recognizing the locations of the probable emergence of the earthquakes' epicenters is solved for two different magnitude thresholds. This allows us to interpret the areas prone to the probable emergence of the epicenters of significant earthquakes as fuzzy sets. 相似文献
3.
At high latitudes, sporadic geomagnetic disturbances associated with geomagnetic storms introduce significant uncertainty in measurements by borehole inclinometers during the directional drilling of deep wells. Variations in the magnetic declination may lead to significant deviations of the actual coordinates of the borehole from the prescribed trajectory. Using the methods for calculating the profile of the actual borehole, we conducted model estimates of the influence of sporadic disturbances in the magnetic declination observed during the magnetic storm of October 28–31, 2003 on the displacement azimuth and intensity of borehole bending at the given locations at the sites of two high-latitude magnetic observatories. It is shown that, unless filtered based on the data of parallel observatory measurements, the geomagnetic disturbances can lead to unacceptably large errors in the borehole inclinometer measurements and cause a borehole deflection exceeding the admissible values. 相似文献
4.
Dzeboev B. A. Gvishiani A. D. Belov I. O. Agayan S. M. Tatarinov V. N. Barykina Yu. V. 《Izvestiya Physics of the Solid Earth》2019,55(4):563-575
Izvestiya, Physics of the Solid Earth - A new version of the Barrier algorithm is proposed for recognition of strong-earthquake prone regions based on training over a single reliable training... 相似文献
5.
Sh. R. Bogoutdinov A. D. Gvishiani S. M. Agayan A. A. Solovyev E. Kin 《Izvestiya Physics of the Solid Earth》2010,46(11):1004-1016
The International Real-time Magnetic Observatory Network (INTERMAGNET) is the world’s biggest international network of ground-based
observatories, providing geomagnetic data almost in real time (within 72 hours of collection) [Kerridge, 2001]. The observation
data are rapidly transferred by the observatories participating in the program to regional Geomagnetic Information Nodes (GINs),
which carry out a global exchange of data and process the results. The observations of the main (core) magnetic field of the
Earth and its study are one of the key problems of geophysics. The INTERMAGNET system is the basis of monitoring the state
of the Earth’s magnetic field; therefore, the information provided by the system is required to be very reliable. Despite
the rigid high-quality standard of the recording devices, they are subject to external effects that affect the quality of
the records. Therefore, an objective and formalized recognition with the subsequent remedy of the anomalies (artifacts) that
occur on the records is an important task. Expanding on the ideas of Agayan [Agayan et al., 2005] and Gvishiani [Gvishiani
et al., 2008a; 2008b], this paper suggests a new algorithm of automatic recognition of anomalies with specified morphology,
capable of identifying both physically- and anthropogenically-derived spikes on the magnetograms. The algorithm is constructed
using fuzzy logic and, as such, is highly adaptive and universal. The developed algorithmic system formalizes the work of
the expert-interpreter in terms of artificial intelligence. This ensures identical processing of large data arrays, almost
unattainable manually. Besides the algorithm, the paper also reports on the application of the developed algorithmic system
for identifying spikes at the INTERMAGNET observatories. The main achievement of the work is the creation of an algorithm
permitting the almost unmanned extraction of spike-free (definitive) magnetograms from preliminary records. This automated
system is developed for the first time with the application of fuzzy logic system for geomagnetic measurements. It is important
to note that the recognition of time disturbances is formalized and identical. The algorithm presented here appreciably increases
the reliability of spike-free INTERMAGNET magnetograms, thus increasing the objectivity of our knowledge of the Earth’s magnetic
field. At the same time, the created system can accomplish identical, formalized, and retrospective analysis of large archives
of digital and digitized magnetograms, accumulated in the system of Worldwide Data Centers. The relevant project has already
been initiated as a collaborative initiative of the Worldwide Data Center at Geophysical Center (Russian Academy of Sciences)
and the NOAA National Geophysical Data Center (Unite States). Thus, by improving and adding objectivity to both new and historical
initial data, the developed algorithmic system may contribute appreciably to improving our understanding of the Earth’s magnetic
field. 相似文献
6.
V. G. Getmanov A. D. Gvishiani D. A. Kamaev A. S. Kornilov 《Izvestiya Physics of the Solid Earth》2016,52(2):259-270
The problem of the algorithmic recognition of anomalous time intervals in the time series of the sea-level observations conducted by the Russian Tsunami Warning Survey (RTWS) is considered. The normal and anomalous sea-level observations are described. The polyharmonic models describing the sea-level fluctuations on the short time intervals are constructed, and sea-level forecasting based on these models is suggested. The algorithm for the recognition of anomalous time intervals is developed and its work is tested on the real RTWS data. 相似文献
7.
Clustering the epicenters of Caucasian earthquakes with magnitudes M ≥ 3.0 is carried out, and the epicentral zones of the probable earthquakes with M ≥ 5.0 areas where epicenters of earthquakes with M ≤ 5.0 may occur are recognized by the Fuzzy Clustering and Zoning (FCAZ) algorithmic system developed by the authors at the Geophysical Center of the Russian Academy of Sciences. These zones correspond well to the locations of the epicenters of earthquakes with M ≥ 5.0. The zones recognized in this study are compared with the zones previously recognized by A.D. Gvishiani et al. in 1988 by the Earthquake-Prone Areas Recognition (EPA) technique. The comparison shows that the zones identified by FCAZ are mainly located inside the EPA-zones. The FCAZ-zones are also compared with the zones previously recognized using gravimetric and geological data. The results obtained by different methods closely agree. Contrary to EPA technique FCAZ algorithmic system relies on the DPS algorithm of objective classification that requires only the information about epicenters of the earthquakes in the region under study. 相似文献
8.
Sh. R. Bogoutdinov S. M. Agayan A. D. Gvishiani E. M. Graeva M. V. Rodkin J. Zlotnicki J. L. Le Mouél 《Izvestiya Physics of the Solid Earth》2007,43(7):597-609
The expert processing of monitoring data of large networks on hazardous natural phenomena becomes increasingly more complicated due to an increase in the initial data flow. An approach alternative to the visual recognition of signals is proposed. A number of recognition algorithms and results of their application to the analysis of geoelectric potential monitoring data are discussed. Data of monitoring La Fournaise Volcano (Réunion Island) obtained in the vicinity of the intense volcanic eruption of 1988 are used. The obtained results show that these algorithms are capable of recognizing anomalous segments of records and discriminating between several types of anomalies presumably associated with the effects of various physical factors (heavy atmospheric precipitation, hydrothermal processes, and so on). The algorithms proposed in this work can be used both for the automation of expert work in operating monitoring systems and in investigations aimed at the identification of typical morphologic sequences in time series of data of various origins. 相似文献
9.
Soloviev An. A. Soloviev Al. A. Gvishiani A. D. Nikolov B. P. Nikolova Yu. I. 《Izvestiya Atmospheric and Oceanic Physics》2018,54(9):1363-1373
Izvestiya, Atmospheric and Oceanic Physics - Zones of higher seismic hazard occupy about 20% of Russia’s territory, and 5% are characterized by extremely high hazard. These latter are, in... 相似文献
10.
Gvishiani A. D. Tatarinov V. N. Kaftan V. I. Losev I. V. Manevich A. I. 《Izvestiya Atmospheric and Oceanic Physics》2021,57(9):1151-1161
Izvestiya, Atmospheric and Oceanic Physics - In 2019, the construction of an underground research laboratory for justifying the geoecological safety of the disposal of highly active radioactive... 相似文献