Computational nanotechnology
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Comp. nanotechnol.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computational nanotechnology, 2017, Issue 3, Pages 33–35 (Mi cn143)  

PLASMA, HIGH-FREQUENCY, MICROWAVE AND LASER TECHNOLOGY

Date for detecting the earthquake precursors modernized installation

A. U. Makhsudova, M. A. Zufarovb

a Physical-technical Institute, SPA «Physics-Sun» Academy of Sciences of Uzbekistan
b Institute of materials science, SPA «Physics-sun» Academy of Sciences of Uzbekistan
References:
Abstract: The possible forecasting method of earthquakes in based the registration of intensity of flows of neutrons and the charged particles the detectors used in nuclear physics was offered. Options of installations working by this technique are made. But from such installations was not an opportunity to obtain information about locations of epicenter of the forthcoming earthquake. Such installations are modified, are added by detectors of the direction and are tested. Results along with prognostic signals are received, beginning in 2-3 days, the signals specifying the direction of a location of the forthcoming earthquake, in 10 hours before to its origin.
Keywords: earthquake, detector, neutron flux, charged particles.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. U. Makhsudov, M. A. Zufarov, “Date for detecting the earthquake precursors modernized installation”, Comp. nanotechnol., 2017, no. 3, 33–35
Citation in format AMSBIB
\Bibitem{MakZuf17}
\by A.~U.~Makhsudov, M.~A.~Zufarov
\paper Date for detecting the earthquake precursors modernized installation
\jour Comp. nanotechnol.
\yr 2017
\issue 3
\pages 33--35
\mathnet{http://mi.mathnet.ru/cn143}
\elib{https://elibrary.ru/item.asp?id=30079067}
Linking options:
  • https://www.mathnet.ru/eng/cn143
  • https://www.mathnet.ru/eng/cn/y2017/i3/p33
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computational nanotechnology
    Statistics & downloads:
    Abstract page:89
    Full-text PDF :38
    References:12
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024