Network of seismo-geochemical monitoring observatories for earthquake prediction research in India

Present paper deals with a brief review of the research carried out to develop multi-parametric gas-geochemical monitoring facilities dedicated to earthquake prediction research in India by installing a network of seismo-geochemical monitoring observatories at different regions of the country. In an...

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Bibliographic Details
Published in:Acta geophysica 2013-08, Vol.61 (4), p.1000-1025
Main Authors: Chaudhuri, Hirok, Barman, Chiranjib, Iyengar, A. N. Sekar, Ghose, Debasis, Sen, Prasanta, Sinha, Bikash
Format: Article
Language:English
Subjects:
Earth and Environmental Science
Earth Sciences
earthquake
Earthquake prediction
Earthquakes
Environmental monitoring
geochemical anomaly
Geochemistry
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Helium
hydrothermal systems
India
Monitoring
Networks
nonlinear technique
Observatories
Polonium
Predictions
Radon
Research Article
Seismic activity
Seismic phenomena
Seismology
Statistical methods
Structural Geology
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Summary:Present paper deals with a brief review of the research carried out to develop multi-parametric gas-geochemical monitoring facilities dedicated to earthquake prediction research in India by installing a network of seismo-geochemical monitoring observatories at different regions of the country. In an attempt to detect earthquake precursors, the concentrations of helium, argon, nitrogen, methane, radon-222 ( 222 Rn), polonium-218 ( 218 Po), and polonium-214 ( 214 Po) emanating from hydrothermal systems are monitored continuously and round the clock at these observatories. In this paper, we make a cross correlation study of a number of geochemical anomalies recorded at these observatories. With the data received from each of the above observatories we attempt to make a time series analysis to relate magnitude and epicentral distance locations through statistical methods, empirical formulations that relate the area of influence to earthquake scale. Application of the linear and nonlinear statistical techniques in the recorded geochemical data sets reveal a clear signature of long-range correlation in the data sets.
ISSN:1895-6572
1895-7455
DOI:10.2478/s11600-013-0134-0