Abstract
In this paper, some problems of geophysical monitoring of the natural environment are considered. Many of them involve online detection of natural and technogenic events and the preceding geodynamic processes developing in the Earth. Such events include earthquakes, volcano eruptions, lunar and solar tides, landslides, falls of celestial bodies, quarry explosions causing technogenic earthquakes, etc. A new approach to solving the problem of active geophysical monitoring of the natural environment is proposed and investigated. It is based on the detection and separation of waveforms generated in the Earth and surface atmosphere by the above events. The solution is obtained by a unifying process of discrete optimization. The efficiency of this approach is illustrated by some numerical experiments.
G. Voskoboynikova—This work was supported by the Russian Foundation for Basic Research, projects No 14-07-00518, 15-07-10120K.
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References
Nolet, G. (ed.): Seismic Tomography, p. 415. D. Reidel Publishing Company, Dordrecht (1987)
Basseville, M., Benveniste, A. (eds.): Detection of Abrupt Changes in Signals and Dynamical Systems, p. 278. Springer-Verlag, Heidelberg (1986)
Nikiforov, I.V.: Successive Detection of changes in the properties of time series. Nauka, Moscow (1983)
Glinsky, B.M., Khairetdinov, M.S., Omelchenko, O.K., Rodionov, Y.I.: On a new automized technology for seismic source location. Bulletin of the Novosibirsk Computing Center, Series: Mathematical Modeling in Geophysics (8), 35–42 (2003)
Khairetdinov, M.S., Avrorov, S.A., Livenets, A.A.: Computing technology in seismic monitoring networks and systems. Bulletin of the Novosibirsk Computing Center, Series: Mathematical Modeling in Geophysics (13), 51–69 (2010)
Lubushin, A.A.: Wavelet-aggregated signal and synchronous peaks in problems of geophysical monitoring and earthquake prediction. Fizika Zemli (3), 20–30 (2000)
Sagaidachnaya, O.M., Dunaeva, K.A., Sal’nikov, A.S.: Decomposition and analysis of seismic fields on the basis of layers of wavelet-decomposition. Geofisika (5), 9–17 (2010)
Hatton, L., Worthington, M.H., Makin, J.: Seismic data processing, 212 p. Blackwell Scientific Publications, London (1986)
Kel’manov, A.V., Jeon, B.: A posteriori joint detection and discrimination of pulses in a quasiperiodic pulse train. IEEE Trans. Signal Processing 52(3), 1–12 (2004)
Gruber, P., Todtli, J.: Estimation of Quasiperiodic Signal parameters by Means of Dynamic Signal Modes. IEEE Trans. Signal Processing 42(3), 552–562 (1994)
Woskoboynikova, G.M.: Determination of the arrival times of the seismic by the dynamic programming method. In: Proceedings of 9th Korean-Russian International Symposium on “Science and Technology” (KORUS 2005), pp. 734–737. NSTU, Novosibirsk (2005)
Kahaner, D., Moler, C., Nash, S.: Numerical Methods and Software, p. 575. Prentice Hall, INC. a Pearson Education Company (1989)
Omelchenko, O.K.: Numerical implementation of wave mode of definition of bottom hole coordinates. Bulletin of the Novosibirsk Computing Center, Series: Mathematical Modeling in Geophysics (5), 121–126 (1999)
Hudson, D.: Statistics for Physicists, p. 296. Mir., Moscow (1970)
Forsythe, J., Malcolm, M., Moler, C.: Machine methods of mathematical calculation, p. 280. Mir, Moscow (1980)
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Voskoboynikova, G., Khairetdinov, M. (2015). Numerical Modeling of Posteriori Algorithms for the Geophysical Monitoring. In: Danaev, N., Shokin, Y., Darkhan, AZ. (eds) Mathematical Modeling of Technological Processes. CITech 2015. Communications in Computer and Information Science, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-25058-8_19
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DOI: https://doi.org/10.1007/978-3-319-25058-8_19
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