Seismic Network Operations


Tucson, Arizona

IU TUC commences operations on: 1992,165

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Host: University of Arizona
Latitude: 32.31
Longitude: -110.785
Elevation: 910
Datalogger: Q330
Broadband: STS-1VBB_w/E300
Accelerometer: FBA_ES-T_EpiSensor_Accelerometer
Telemetry Status at the NEIC: Last Data In Less Than 10 Minutes
Station Photo Station Photo Station Photo 

Vault Condition: Vault is located in a small building which is well insulated against the summer heat. Piers are isolated from the floor and attached to bedrock. No air conditioners were in use during installation. Temperature variation in the vault is unknown.

Site Geology: Seismometers are located in foothills of the Santa Catalina mountains on granite.

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
00BH1STS-1VBB w/E300CG20.
00BH2STS-1VBB w/E300CG20.000.0091.001.00
00BHZSTS-1VBB w/E300CG20.00-
20HN1FBA ES-T EpiSensor AccelerometerTG100.
20HN2FBA ES-T EpiSensor AccelerometerTG100.000.0090.001.00
20HNZFBA ES-T EpiSensor AccelerometerTG100.00-
30LDOCI/PAS pressure sensorCW1.
00LH1STS-1VBB w/E300CG1.
00LH2STS-1VBB w/E300CG1.000.0091.001.00
00LHZSTS-1VBB w/E300CG1.00-
20LN1FBA ES-T EpiSensor AccelerometerCG1.
20LN2FBA ES-T EpiSensor AccelerometerCG1.000.0090.001.00
20LNZFBA ES-T EpiSensor AccelerometerCG1.00-
00VH1STS-1VBB w/E300CG0.
00VH2STS-1VBB w/E300CG0.100.0091.001.00
00VHZSTS-1VBB w/E300CG0.10-
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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
10BHZ2011:181 2010:355 to No Ending TiA0.012570.0102560.0785520.064998 CMG3-TRandom
00BH22011:181 2011:180 to No Ending TA0.0269760.009190.148020.20999 STS1VBBE3Random
00BHZ2011:181 2011:180 to No Ending TA0.0173120.00829570.139340.16957 STS1VBBE3Random
10BH12011:181 2010:355 to No Ending TiA0.0160920.0120410.131810.072919 CMG3-TRandom
10BH22011:181 2010:355 to No Ending TiA0.0128990.00997660.098850.064115 CMG3-TRandom
00BH12011:181 2011:180 to No Ending TA0.0190260.0083330.139140.17607 STS1VBBE3Random
  1. Current Issues
    Episensors keep failing at this site. We will run two simultaneously to monitor. The 00-LH2 channel is showing intermittent lowered sensitivity as of early December.
  2. 2010-09-24
    Replaced cell modem which failed on Aug. 16 2010.
  3. 2009-05-29
    Upgraded to Q330 digitizer.