Seismic Network Operations

IU DWPF

Disney Wilderness Preserve, Florida, USA

IU DWPF commences operations on: 1998,214

Country Flag
Host: The Nature Conservancy
Latitude: 28.11
Longitude: -81.433
Elevation: 30
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 

Vault Condition: Borehole depth is -162m.

Site Geology: Quaternary aged undifferentiated sands, clayey sands, marls, and peats. The layers are no more than 20 feet thick.

Location CodeChannel CodeInstrumentFlagsSample RateDipAzimuthDepth
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
10VHZTrillium 240 broad bandCG0.10-90.000.000.00
10VH2Trillium 240 broad bandCG0.100.0090.000.00
10VH1Trillium 240 broad bandCG0.100.000.000.00
10LHZTrillium 240 broad bandCG1.00-90.000.000.00
10LH2Trillium 240 broad bandCG1.000.0090.000.00
10LH1Trillium 240 broad bandCG1.000.000.000.00
10BHZTrillium 240 broad bandCG40.00-90.000.000.00
10BH2Trillium 240 broad bandCG40.000.0090.000.00
10BH1Trillium 240 broad bandCG40.000.000.000.00
00VHZKS-54000CG0.10-90.000.00162.00
00VH2KS-54000CG0.100.0041.00162.00
00VH1KS-54000CG0.100.00311.00162.00
00LHZKS-54000CG1.00-90.000.00162.00
00LH2KS-54000CG1.000.0041.00162.00
00LH1KS-54000CG1.000.00311.00162.00
00BHZKS-54000CG20.00-90.000.00162.00
00BH2KS-54000CG20.000.0041.00162.00
00BH1KS-54000CG20.000.00311.00162.00
30LDOCI/PAS pressure sensorCW1.000.000.000.00
20HNZFBA ES-T EpiSensor AccelerometerTG100.00-90.000.000.00
20HN1FBA ES-T EpiSensor AccelerometerTG100.000.000.000.00
20HN2FBA ES-T EpiSensor AccelerometerTG100.000.0090.000.00
10HHZTrillium 240 broad bandTG100.00-90.000.000.00
10HH2Trillium 240 broad bandTG100.000.0090.000.00
10HH1Trillium 240 broad bandTG100.000.000.000.00
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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
00BHZ2011:093 2011:092 to No Ending TA0.00657120.00585190.0610510.069775 54000Random
00BH22011:093 2011:092 to No Ending TA0.0103750.00646110.0575090.082486 54000Random
00BH12011:093 2011:092 to No Ending TA0.00820970.00552670.0643780.053075 54000Random
10BHZ2010:313 2010:267 to No Ending TA0.0135660.00709760.106390.079902TR-240Random
  1. 2012-06-23
    Episensor replace due to noise issues.
  2. 2010-10-09
    Upgraded to Q330 digitizer.