The mechanism of anomaly of charged particles before the earthquake
( Pp. 72-76)

More about authors
Rakhimov Rustam Kh. Dr. Sci. (Eng.); Head at the Laboratory No. 1
Institute of Materials Science of the SPA “Physics-Sun” of the Academy of Sciences of the Republic of Uzbekistan
Tashkent, Republic of Uzbekistan Makhsudov Asatulla U. starshiy nauchnyy sotrudnik
Institute of Materials Science, SPA “Physics-Sun”, Academy of Science of Uzbekistan
For read the full article, please, register or log in
Some mechanisms are considered in the form of analysis of the propagation and origin of charged particles involved in acting forces in energy transfer processes that lead to a highly deformed seismically active state and create the necessary conditions for the occurrence of an earthquake. The results of monitoring the registration of charged particles of radioactive radiation of the earth’s crust for the purpose of earthquake forecasting are analyzed. During monitoring, responses to the origin of an event - an earthquake-are observed in the behavior of charged particles, which are located on remote parts of the earth’s crust relative to the place where charged particles are registered. In this case, wide horizons of the earth’s crust are involved, where tectonic disturbances are developed, covering not only the deep layers of the earth’s crust, but also the sections that appear in the upper parts. These tectonic disturbances can be considered as through-current channels that facilitate the transfer of energy from great depths. On the earth’s surface, the behavior of charged particles should be considered within the framework of the action of geomagnetic and atmospheric electricity fields. These fields at the earth’s surface are a carrier field that provides a special transfer of not only energy and matter. Thus, the propagation of charged particle flows over considerable distances from the epicenter of earthquakes can be caused by the carrier fields of deep change processes.
How to Cite:
Rakhimov R.K., Makhsudov A.U., (2020), THE MECHANISM OF ANOMALY OF CHARGED PARTICLES BEFORE THE EARTHQUAKE. Computational Nanotechnology, 3: 72-76. DOI: 10.33693/2313-223X-2020-7-3-72-76
Reference list:
Ginzburg V.L. Theoretical basis of astrophysics. Moscow, 1975. P. 355.
Ostapenko V.F., Zhusunov M.A., Krasnoperov V.A. et al. Physical problems of ecology: Collection of works. No. 5. Moscow, 1999. Pp. 149-152.
Antonova V.P., Volodichev N.N., Kryukov S.V. et al. Izvestiya RAN. Ser. Phys. 2007. Pp. 1082-1085.
Abramov A.I., Kazanskiy Yu.A., Matusevich E.S. Fundamentals of experimental methods of nuclear physics. Moscow: Atomizdat, 1970.
Bembel R.M., Megerya V.M., Bembel S.R. High-Resolution volumetric seismic survey. Novosibirsk: Nauka (Sib. Otd-nie), 1991. P. 152.
Dobrolyubov A.I. Wave transfer of matter. Moscow, 2005. P. 254.
Kurskeev A.K. Earthquake and seismic safety. Almaty: EVRO, 2004. P. 504.
Tursunmetov R.A., Abdullayev B.A. Possibilities of the radio-geochemical method in the search for hydrogenated uranium deposits. Exploration and protection of mineral resources. 2013. No. 8. Pp. 78-82.
Kurskeyev A.K., Serazetdinova B.Z. Earthquakes: origin and prediction. Almaty: EVRO, 2011. P. 314.
Maksudov A.U., Zufarov M.A. Preliminary data on registration of earthquake precursors by an upgraded installation. Computational nanotechnology. 2017. No. 3. Pp. 33-35.
Maksudov A.U. Monitoring of seismic precursors for earthquake prediction. International nanotechnology. 2016. No. 1. Pp. 52-61.
Fox H. Cold fusion. Moscow: PG SVITKO , 1993. P. 183.
Rajapov S.A., Rakhimov R.H., Rajapov B.S., Zufarov M.A. Calculation of the stages of the technological process of manufacturing PPD detectors using computer mathematical modeling and manufacturing an alpha radiometer based on them. Computational nanotechnology. 2020. No. 2. Pp. 21-28.
Rajapov S.A., Rakhimov R.H., Rajapov B.S., Zufarov M.A. Silicon-lithium E-alpha radiation detectors for radiometer. Computational nanotechnology. 2019. No. 2. Pp. 157-159.
Rakhimov R.H., Muminov R.A., Rajapov S.A. et al. Application of a radonometer based on silicon surface-barrier detectors for monitoring radon concentrations. Computational nanotechnology. 2017. No. 2. Pp. 85-88.
gas emissions, decay, intensity, nuclear interactions, charged particles, neutron flux, soliton, seismic activity, forecast.