Issue |
EPJ Web Conf.
Volume 254, 2021
XII International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 11 | |
Section | Geophysical Fields and their Interactions | |
DOI | https://doi.org/10.1051/epjconf/202125402005 | |
Published online | 08 November 2021 |
https://doi.org/10.1051/epjconf/202125402005
Characteristics of the catalogue according to the KNET network (Northern Tian Shan)
Science Research Station of the RAS in Bishkek city, Kyrgyzstan
* Corresponding author: ivtran@mail.ru
Published online: 8 November 2021
Various characteristics of the catalogue obtained from the data of the KNET network, containing the parameters of more than 10,000 earthquakes that occurred from 1994 to 2020, are considered. A statistical analysis of the number of P- and S-waves registered by each station of the network is carried out. The activity of the stations during the localization of earthquakes has been determined. The most active station is AAK. The minimum number of P- and S-waves is recorded at the ULHL station. Statistical analysis of localization errors has been performed. The boundaries of the territory for which the minimum values of errors are observed are determined. The statistical characteristics of earthquakes in terms of magnitude, time, depth are presented. The distribution of the number of earthquakes by different energy classes in time and the spatial distribution of earthquakes by depths: 0-5 km, 5-10 km, 10-15 km and more than 15 km are constructed. The Gutenberg Richter law was used to describe the energy distribution function of earthquakes. A representative sample of the catalogue was determined, which includes events with M ≥ 1.8. The b-value for the directory is 0.88.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.