Published August 1, 2019 | Version v1
Journal article

Analysis of seismic noise level at high-mountain stations of the KNET network

  • 1. Research station of Russian Academy of Science in Bishkek city, Research Station RAS, Bishkek-49 (Kyrgyzstan)

Description

In this work we estimate level of seismic noise at Kyrgyz Network's (KNET) high-mountain stations for 19 years of the time this network operated in real-time mode (1999-2017). To do that for each channel (E – west-east, N – south-north and Z – vertical, all with 100 Hz sample rate) of each station we made fifteen-minute (900 seconds) segments of seismic noise. We took such segments for different seasons (March, June, September, December) and for various times of day (00, 06, 12 and 18 hours UTC) for the whole 19 years. We analyzed probabilistic power spectral density heatmaps and found out some features of KNET's high-mountain station's operation. These features depend on season-wise weather changes. The worth month for all stations is September. In general, when weather is favorable these stations can be characterized as low-noise ones and their data may be used in various researches. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/324/1/012006

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (Online)
Journal Volume
324
Journal Issue
1
Journal Page Range
[8 p.]
ISSN
1755-1315

Conference

Title
Geodynamical processes and natural hazards
Acronym
3. national scientific conference with foreign participants
Dates
27-31 May 2019
Place
Yuzhno-Sakhalinsk (Russian Federation)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53068794
Subject category
S58: GEOSCIENCES; S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
MOUNTAINS; PROBABILISTIC ESTIMATION; SEASONS; SEISMIC NOISE; SPECTRAL DENSITY; WEATHER
Descriptors DEC
CALCULATION METHODS; FUNCTIONS; NOISE; SPECTRAL FUNCTIONS