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  4. Identification of natural and technogenic seismic events by energy characteristics

Identification of natural and technogenic seismic events by energy characteristics

JGD.
2023;
Volume 2(35)2023, Number 2(35)
: 99-105
https://doi.org/10.23939/jgd2023.02.099
Received: October 15, 2023
Authors:
  1. Volodymyr Osadchii
  2. Yuriy Andrushchenko
  3. Oleksandr Liashchuk
1
Main Center for Special Control NSMC SSA of Ukraine
2
Main Center for Special Control NSMC SSA of Ukraine
3
Main Center for Special Control NSMC SSA of Ukraine

One of the key problems of seismic monitoring is the identification of earthquakes and signals from technogenic sources detected by a network of seismic stations. In peacetime, technogenic events are mainly associated with industrial mining developments, however, with the beginning of russia's full-scale aggression against sovereign Ukraine, thousands of seismic signals from explosions as a result of missile, aircraft, artillery strikes were registered by the seismological network of the Main Center of Special Monitoring of the State Space Agency of Ukraine. This significantly complicates the process of assessing seismicity and makes the question of determining the nature of registered events extremely relevant. Based on the analysis of seismic signals, the relationships between energy classes (K), magnitudes (mb), maximum amplitudes of longitudinal volumetric phases , and yields (Y) of explosions in TNT equivalent in Kyiv, Zhytomyr, Vinnytsia, Khmelnytsky, Chernihiv regions. Energy characteristics can be used to identify the nature of seismic events, and the results of the analysis of the ratios , ,   make it possible to yield estimate of explosions in TNT equivalent and determine the probable types of ammunition based on the received data. The energy from the signal source in the case of an explosive event can be determined additionally by infrasound data, the presence of an acoustic wave serves as an additional criterion for identifying the event. At the same time, energy characteristics make it possible to identify natural sources, an example of which is the tectonic earthquake of May 26, 2023 in the Poltava region.One of the key problems of seismic monitoring is the identification of earthquakes and signals from technogenic sources detected by a network of seismic stations. In peacetime, technogenic events are mainly associated with industrial mining developments, however, with the beginning of russia's full-scale aggression against sovereign Ukraine, thousands of seismic signals from explosions as a result of missile, aircraft, artillery strikes were registered by the seismological network of the Main Center of Special Monitoring of the State Space Agency of Ukraine. This significantly complicates the process of assessing seismicity and makes the question of determining the nature of registered events extremely relevant. Based on the analysis of seismic signals, the relationships between energy classes (K), magnitudes (mb), maximum amplitudes of longitudinal volumetric phases , and yields (Y) of explosions in TNT equivalent in Kyiv, Zhytomyr, Vinnytsia, Khmelnytsky, Chernihiv regions. Energy characteristics can be used to identify the nature of seismic events, and the results of the analysis of the ratios , ,   make it possible to yield estimate of explosions in TNT equivalent and determine the probable types of ammunition based on the received data. The energy from the signal source in the case of an explosive event can be determined additionally by infrasound data, the presence of an acoustic wave serves as an additional criterion for identifying the event. At the same time, energy characteristics make it possible to identify natural sources, an example of which is the tectonic earthquake of May 26, 2023 in the Poltava region.

seismic station
seismic signal
seismic wave
explosion
ammunition
power in TNT equivalent
magnitude
energy class
maximum amplitude
earthquake
infrasound
identification
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