Seismic Network Operations
IU TUC
Tucson, Arizona
IU TUC commences operations on: 1992,165
| 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 |
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 Code | Channel Code | Instrument | Flags | Sample Rate | Dip | Azimuth | Depth |
|---|---|---|---|---|---|---|---|
| 10 | BH1 | CMG3-T | CG | 40.00 | 0.00 | 359.00 | 1.00 |
| 00 | BH1 | STS-1VBB w/E300 | CG | 20.00 | 0.00 | 1.00 | 1.00 |
| 10 | BH2 | CMG3-T | CG | 40.00 | 0.00 | 89.00 | 1.00 |
| 00 | BH2 | STS-1VBB w/E300 | CG | 20.00 | 0.00 | 91.00 | 1.00 |
| 10 | BHZ | CMG3-T | CG | 40.00 | -90.00 | 0.00 | 1.00 |
| 00 | BHZ | STS-1VBB w/E300 | CG | 20.00 | -90.00 | 0.00 | 1.00 |
| 10 | HH1 | CMG3-T | TG | 100.00 | 0.00 | 359.00 | 1.00 |
| 10 | HH2 | CMG3-T | TG | 100.00 | 0.00 | 89.00 | 1.00 |
| 10 | HHZ | CMG3-T | TG | 100.00 | -90.00 | 0.00 | 1.00 |
| 20 | HN1 | FBA ES-T EpiSensor Accelerometer | TG | 100.00 | 0.00 | 0.00 | 1.00 |
| 20 | HN2 | FBA ES-T EpiSensor Accelerometer | TG | 100.00 | 0.00 | 90.00 | 1.00 |
| 20 | HNZ | FBA ES-T EpiSensor Accelerometer | TG | 100.00 | -90.00 | 0.00 | 1.00 |
| 30 | LDO | CI/PAS pressure sensor | CW | 1.00 | 0.00 | 0.00 | 0.00 |
| 10 | LH1 | CMG3-T | CG | 1.00 | 0.00 | 359.00 | 1.00 |
| 00 | LH1 | STS-1VBB w/E300 | CG | 1.00 | 0.00 | 1.00 | 1.00 |
| 10 | LH2 | CMG3-T | CG | 1.00 | 0.00 | 89.00 | 1.00 |
| 00 | LH2 | STS-1VBB w/E300 | CG | 1.00 | 0.00 | 91.00 | 1.00 |
| 10 | LHZ | CMG3-T | CG | 1.00 | -90.00 | 0.00 | 1.00 |
| 00 | LHZ | STS-1VBB w/E300 | CG | 1.00 | -90.00 | 0.00 | 1.00 |
| 20 | LN1 | FBA ES-T EpiSensor Accelerometer | CG | 1.00 | 0.00 | 0.00 | 1.00 |
| 20 | LN2 | FBA ES-T EpiSensor Accelerometer | CG | 1.00 | 0.00 | 90.00 | 1.00 |
| 20 | LNZ | FBA ES-T EpiSensor Accelerometer | CG | 1.00 | -90.00 | 0.00 | 1.00 |
| 10 | VH1 | CMG3-T | CG | 0.10 | 0.00 | 359.00 | 1.00 |
| 00 | VH1 | STS-1VBB w/E300 | CG | 0.10 | 0.00 | 1.00 | 1.00 |
| 10 | VH2 | CMG3-T | CG | 0.10 | 0.00 | 89.00 | 1.00 |
| 00 | VH2 | STS-1VBB w/E300 | CG | 0.10 | 0.00 | 91.00 | 1.00 |
| 10 | VHZ | CMG3-T | CG | 0.10 | -90.00 | 0.00 | 1.00 |
| 00 | VHZ | STS-1VBB w/E300 | CG | 0.10 | -90.00 | 0.00 | 1.00 |
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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.
| Loc | Chan | Cal Date | Epoch-Span | Grade | Amp Nominal Error (dB) | Amp Best Fit Error (dB) | Phase Nominal Error (degree) | Phase Best Fit Error (degree) | Sensor | Cal Type |
|---|---|---|---|---|---|---|---|---|---|---|
| 10 | BHZ | 2011:181 | 2010:355 to No Ending Ti | A | 0.01257 | 0.010256 | 0.078552 | 0.064998 | CMG3-T | Random |
| 00 | BH2 | 2011:181 | 2011:180 to No Ending T | A | 0.026976 | 0.00919 | 0.14802 | 0.20999 | STS1VBBE3 | Random |
| 00 | BHZ | 2011:181 | 2011:180 to No Ending T | A | 0.017312 | 0.0082957 | 0.13934 | 0.16957 | STS1VBBE3 | Random |
| 10 | BH1 | 2011:181 | 2010:355 to No Ending Ti | A | 0.016092 | 0.012041 | 0.13181 | 0.072919 | CMG3-T | Random |
| 10 | BH2 | 2011:181 | 2010:355 to No Ending Ti | A | 0.012899 | 0.0099766 | 0.09885 | 0.064115 | CMG3-T | Random |
| 00 | BH1 | 2011:181 | 2011:180 to No Ending T | A | 0.019026 | 0.008333 | 0.13914 | 0.17607 | STS1VBBE3 | Random |
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Current IssuesEpisensors keep failing at this site. We will run two simultaneously to monitor. The 00-LH1 channel is showing lowered sensitivity as of early December. A replacement digitizer is on the way.
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2010-09-24Replaced cell modem which failed on Aug. 16 2010.
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2009-05-29Upgraded to Q330 digitizer.
- University of Arizona
- Southern Arizona Seismic Observatory (SASO)
- USGS ANSS Project
- USGS GSN Program
- National Science Foundation
- Incorporated Research Institutions in Seismology
- University of Arizona
- Southern Arizona Seismic Observatory (SASO)
- USGS ANSS Project
- USGS GSN Program
- National Science Foundation
- Incorporated Research Institutions in Seismology
