TITLE:
Intelligent Seismic-Acoustic System for Identifying the Location of the Areas of an Expected Earthquake
AUTHORS:
Telman Aliev, Qambar Quluyev, Farhad Pashayev, Ulkar Sattarova, Narmin Rzayeva
KEYWORDS:
Seismic-Acoustic Signal, Robust Noise Technologies, RNM ASP Station, Seismic-Acoustic Monitoring Centre, Earthquake Forecasting
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.4 No.4,
April
28,
2016
ABSTRACT: A brief overview of the state-of-the-art in the
field of earthquake study and forecasting is presented in this paper. We
analyze the principles of the methods of determining the coordinates of
earthquake focuses by means of ground seismic stations. We demonstrate that
those methods cannot be used in the system for monitoring of the beginning of
the earthquake preparation process (in the network of RNM ASP stations). As we
know, the earthquake preparation process is accompanied by spreading noisy
seismic-acoustic signals. Theoretically, the system for monitoring of the
beginning of the earthquake preparation process is based on the technologies
for seismic-acoustic signal processing-Robust Noise Monitoring (RNM). Noise
characteristics determined by RNM technologies indicate the beginning of
anomalous seismic processes (ASP) and, consequently, the possibility of ASP
monitoring. Considering that the seismic-acoustic signal can be represented as
the sum of the useful signal and noise, we present the technologies for
determining noise characteristics. It is demonstrated in the paper that a
change in the estimate of the cross-correlation function between the useful
signal and the noise, noise variance and the value of noise correlation
determine the beginning of ASP. One RNM ASP station determines the beginning of
ASP within a radius of about 500 km. Determining the location of an expected
earthquake requires a network of RNM ASP stations. We analyze the results of
noise technology-based monitoring of anomalous seismic processes performed
from July 2010 to June 2015 on nine seismic-acoustic stations built at the head
of 10 m, 200 m, 300 m and 1400 - 5000 m deep wells. Based on the results of the
experimental data obtained in the period covering over three years, an
intelligent system has been built, which allows for identifying the location of
the zone of an earthquake, using the combinations of time of change in the
estimate of the correlation function between the useful signal and the noise of
the seismic-acoustic information received from different stations 10 - 20
hours before the earthquake. In the long term, the system can be used by
seismologists as a tool for determining the location of the zone of an expected
earthquake.