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Seismic Network Modernization and Expansion in Ukraine

Description: 

The Subbotin Institute of Geophysics of the National Academy of Science of Ukraine started research to expand the Ukrainian National Seismic Network (network code UT) through the installation of permanent broadband seismic stations. The initiative to expand and modernize of the seismic network in Ukraine aims to enhance the country's national seismic monitoring and earthquake response capabilities. It will also facilitate real-time access to high-quality data from newly established stations, benefiting the global scientific community. The initial project was realized with the support and collaboration of the U.S. Department of Energy, Lawrence Livermore National Laboratory, Michigan State University, and the EarthScope Consortium.

Optimizing the effectiveness of investigating both existing and new seismic sites requires careful consideration of various factors during the initial selection, preparation, and installation of seismic stations. A crucial aspect of the site selection process for any seismic network involves evaluating the seismic noise levels at potential locations. The ability of a seismic station to accurately detect earthquakes and capture high-quality waveforms is contingent upon understanding the signal and noise characteristics of the chosen site. In addition to the inherent background noise of the Earth, it is essential to account for other sources of noise, such as those associated with nearby infrastructure.

An initial noise survey was conducted for some existing and new sites of the Ukrainian National Seismic Network: at some existing sites LUBU (Liubeshka, Lviv district), SHIU (Shidnytsia, Lviv district), PLTV (Poltava city), and at new sites: SUGL (Mala Uhol`ka, Zakarpattia district), TURU (Tur`je, Lviv district), and GOSU (Hoshiv, Lviv district). We analyzed and reported the data in the form of both time-history examples and standardized Probability Density Function noise plots. Seismic spectral analysis is based on the calculation of Power Spectral Density distribution using a Probability Density Function following the approach of McNamara and Buland (2004).

Session: Network Seismology: Recent Developments, Challenges and Lessons Learned [Poster Session]

Type: Poster

Date: 5/1/2024

Presentation Time: 08:00 AM (local time)

Presenting Author: Tetiana

Student Presenter: No

Invited Presentation: 

Authors