Seismic Network Operations

IU RSSD

Black Hills, South Dakota, USA

IU RSSD commences operations on: 1999,267

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Host: US Forest Service
Latitude: 44.121
Longitude: -104.036
Elevation: 2090
Datalogger: Q330
Broadband: KS-54000
Accelerometer: FBA_ES-T_EpiSensor_Accelerometer
Telemetry Status at the NEIC: Last Data In Less Than 10 Minutes
Station Photo Station Photo Station Photo Station Photo 

Site Geology: Located in Pahasapa Limestone, which is lower Mississippian in age.

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
00VHZKS-54000CG0.10-90.000.0067.30
00VH2KS-54000CG0.100.00214.0067.30
00VH1KS-54000CG0.100.00124.0067.30
00LHZKS-54000CG1.00-90.000.0067.30
00LH2KS-54000CG1.000.00214.0067.30
00LH1KS-54000CG1.000.00124.0067.30
00BHZKS-54000CG20.00-90.000.0067.30
00BH2KS-54000CG20.000.00214.0067.30
00BH1KS-54000CG20.000.00124.0067.30
10VHZSTS-2 High-gainCG0.10-90.000.003.00
10VH2STS-2 High-gainCG0.100.0090.003.00
10VH1STS-2 High-gainCG0.100.000.003.00
10LHZSTS-2 High-gainCG1.00-90.000.003.00
10LH2STS-2 High-gainCG1.000.0090.003.00
10LH1STS-2 High-gainCG1.000.000.003.00
10HHZSTS-2 High-gainTG100.00-90.000.003.00
10HH2STS-2 High-gainTG100.000.0090.003.00
10HH1STS-2 High-gainTG100.000.000.003.00
10BHZSTS-2 High-gainCG40.00-90.000.003.00
10BH2STS-2 High-gainCG40.000.0090.003.00
10BH1STS-2 High-gainCG40.000.000.003.00
20LNZFBA ES-T EpiSensor AccelerometerCG1.00-90.000.000.00
20LN2FBA ES-T EpiSensor AccelerometerCG1.000.0090.000.00
20LN1FBA ES-T EpiSensor AccelerometerCG1.000.000.000.00
20HNZFBA ES-T EpiSensor AccelerometerTG100.00-90.000.000.00
20HN2FBA ES-T EpiSensor AccelerometerTG100.000.0090.000.00
20HN1FBA ES-T EpiSensor AccelerometerTG100.000.000.000.00
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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
00BH12011:208 2009:252 to No Ending TA0.0065920.00527980.059960.05257 54000Random
00BH22011:208 2009:252 to No Ending TA0.00597940.00541930.0586610.054177 54000Random
00BHZ2011:208 2009:252 to No Ending TA0.00544470.00534660.0583560.055932 54000Random
10BHZ2011:209 2009:252 to No Ending TA0.0156560.0142520.10340.10619 STS-2-HGRandom
  1. 2009-09-11
    Upgraded to Q330 digitizer.