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
31LDOCI/PAS pressure sensorCW1.
10VMZGuralp CMG3-T SeismometerCH0.
10VM2Guralp CMG3-T SeismometerCH0.
10VM1Guralp CMG3-T SeismometerCH0.
10VHZGuralp CMG3-T SeismometerCG0.10-
10VH2Guralp CMG3-T SeismometerCG0.100.0089.001.00
10VH1Guralp CMG3-T SeismometerCG0.100.00359.001.00
10LHZGuralp CMG3-T SeismometerCG1.00-
10LH2Guralp CMG3-T SeismometerCG1.000.0089.001.00
10LH1Guralp CMG3-T SeismometerCG1.000.00359.001.00
10HHZGuralp CMG3-T SeismometerTG100.00-
10HH2Guralp CMG3-T SeismometerTG100.000.0089.001.00
10HH1Guralp CMG3-T SeismometerTG100.000.00359.001.00
10BHZGuralp CMG3-T SeismometerCG40.00-
10BH2Guralp CMG3-T SeismometerCG40.000.0089.001.00
10BH1Guralp CMG3-T SeismometerCG40.000.00359.001.00
20LNZKinemetrics FBA ES-T EpiSensor AccelerometerCG1.00-
20LN2Kinemetrics FBA ES-T EpiSensor AccelerometerCG1.000.0090.001.00
20LN1Kinemetrics FBA ES-T EpiSensor AccelerometerCG1.
20HNZKinemetrics FBA ES-T EpiSensor AccelerometerTG100.00-
20HN2Kinemetrics FBA ES-T EpiSensor AccelerometerTG100.000.0090.001.00
20HN1Kinemetrics FBA ES-T EpiSensor AccelerometerTG100.
30LDOlower quality chip sensor in Setra boxCW1.
60VMZMetrozet M2166 VBB seismometerCH0.
60VM2Metrozet M2166 VBB seismometerCH0.
60VM1Metrozet M2166 VBB seismometerCH0.
60VHZMetrozet M2166 VBB seismometerCG0.10-
60VH2Metrozet M2166 VBB seismometerCG0.100.0091.001.00
60VH1Metrozet M2166 VBB seismometerCG0.
60LHZMetrozet M2166 VBB seismometerCG1.00-
60LH2Metrozet M2166 VBB seismometerCG1.000.0091.001.00
60LH1Metrozet M2166 VBB seismometerCG1.
60BHZMetrozet M2166 VBB seismometerCG40.00-
60BH2Metrozet M2166 VBB seismometerCG40.000.0091.001.00
60BH1Metrozet M2166 VBB seismometerCG40.
00VMZStreckeisen STS-1VBB w/E300CH0.
00VM2Streckeisen STS-1VBB w/E300CH0.
00VM1Streckeisen STS-1VBB w/E300CH0.
00VHZStreckeisen STS-1VBB w/E300CG0.10-
00VH2Streckeisen STS-1VBB w/E300CG0.100.0091.001.00
00VH1Streckeisen STS-1VBB w/E300CG0.
00LHZStreckeisen STS-1VBB w/E300CG1.00-
00LH2Streckeisen STS-1VBB w/E300CG1.000.0091.001.00
00LH1Streckeisen STS-1VBB w/E300CG1.
00BHZStreckeisen STS-1VBB w/E300CG20.00-
00BH2Streckeisen STS-1VBB w/E300CG20.000.0091.001.00
00BH1Streckeisen STS-1VBB w/E300CG20.
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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
10BH12014:0072010:355 to No Ending TimeA0.0106830.00868760.0811770.061829CMG3-TRandom
10BHZ2014:0072010:355 to No Ending TimeA0.0123170.00880960.0686950.074468CMG3-TRandom
10BH22014:0072010:355 to No Ending TimeA0.00970090.00993610.0645620.072845CMG3-TRandom
00BH12014:0062011:180 to No Ending TimeA0.0173130.0103090.125550.19077STS1VBBE3Random
00BHZ2014:0062011:180 to No Ending TimeA0.0178890.0105380.132410.19117STS1VBBE3Random
00BH22014:0062011:180 to No Ending TimeA0.0172610.0128790.132620.20965STS1VBBE3Random
  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.