Seismic Network Operations

IU KIEV

Kiev, Ukraine

IU KIEV commences operations on: 1995,030

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Host: Institute of Geophysics, National Academy of Sciences
Latitude: 50.701
Longitude: 29.224
Elevation: 180
Datalogger: Q680
Broadband: STS-1V/VBB
Accelerometer: FBA-23
Telemetry Status at the NEIC: No Data In More Than 24 Hours
Station Photo Station Photo Station Photo 

Vault Condition: The vault lies in an abandoned missle cylo which is made of steel. The concrete and steel piers are isolated from the floor and are attached to granite.

Site Geology: Granite

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
20LNZFBA-23CG1.00-90.000.0040.00
20LNNFBA-23CG1.000.000.0040.00
20LNEFBA-23CG1.000.0090.0040.00
20HNZFBA-23TG80.00-90.000.0040.00
20HNNFBA-23TG80.000.000.0040.00
20HNEFBA-23TG80.000.0090.0040.00
10SHZGS-13CG40.00-90.000.0040.00
10SHNGS-13CG40.000.000.0040.00
10SHEGS-13CG40.000.0090.0040.00
10EHZGS-13TG80.00-90.000.0040.00
10EHNGS-13TG80.000.000.0040.00
10EHEGS-13TG80.000.0090.0040.00
00VHNSTS-1H/VBBCG0.100.000.0040.00
00VHESTS-1H/VBBCG0.100.0090.0040.00
00LHNSTS-1H/VBBCG1.000.000.0040.00
00LHESTS-1H/VBBCG1.000.0090.0040.00
00BHNSTS-1H/VBBCG20.000.000.0040.00
00BHESTS-1H/VBBCG20.000.0090.0040.00
00VHZSTS-1V/VBBCG0.10-90.000.0040.00
00LHZSTS-1V/VBBCG1.00-90.000.0040.00
00BHZSTS-1V/VBBCG20.00-90.000.0040.00
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As part of the annual calibration process, the USGS runs a sequence that includes a random, a step, and several sine wave calibrations.  The USGS analyzes the random binary calibration signal in order to estimate the instrument response.  The figures below show the results from the analysis of the most recent processed calibration at the station.

We use an iterative three-step method to estimate instrument response parameters (poles, zeros, sensitivity and gain) and their associated errors using random calibration signals. First, we solve a coarse non-linear inverse problem using a least squares grid search to yield a first approximation to the solution. This approach reduces the likelihood of poorly estimated parameters (a local-minimum solution) caused by noise in the calibration records and enhances algorithm convergence. Second, we iteratively solve a non-linear parameter estimation problem to obtain the least squares best-fit Laplace pole/zero/gain model. Third, by applying the central limit theorem we estimate the errors in this pole/zero model by solving the inverse problem at each frequency in a 2/3rds-octave band centered at each best-fit pole/zero frequency. This procedure yields error estimates of the 99% confidence interval.

LocChanCal DateEpoch-SpanGradeAmp Nominal Error (dB)Amp Best Fit Error (dB)Phase Nominal Error (degree)Phase Best Fit Error (degree)SensorCal Type
00BHN2011:264 2009:211 to No Ending TB0.0365280.0363040.339810.33617 STS1HVBBRandom
00BHE2011:264 2009:211 to No Ending TB0.0365290.0360850.338940.33442 STS1HVBBRandom
00BHZ2011:264 2009:211 to No Ending TA0.0396870.0349550.342830.33261 STS1VVBBRandom
  1. Current Issues
    The STS-1 horizontals are pulsing. The Q680 has failed and the station is awaiting upgrade.