Seismic Network Operations
Honiara, Solomon Islands
IU HNR commences operations on: 1993,295
|Host:||Dept. of Mines, Energy, and Water|
|Telemetry Status at the NEIC:||Last Data In Less Than 10 Minutes|
|Location Code||Channel Code||Instrument||Flags||Sample Rate||Dip||Azimuth||Depth|
|20||LNZ||FBA ES-T EpiSensor Accelerometer||CG||1.00||-90.00||0.00||0.00|
|20||HNZ||FBA ES-T EpiSensor Accelerometer||TG||100.00||-90.00||0.00||0.00|
|30||LDO||CI/PAS pressure sensor||CW||1.00||0.00||0.00||0.00|
|30||BDO||CI/PAS pressure sensor||CW||40.00||0.00||0.00||0.00|
|20||LN2||FBA ES-T EpiSensor Accelerometer||CG||1.00||0.00||90.00||0.00|
|20||LN1||FBA ES-T EpiSensor Accelerometer||CG||1.00||0.00||0.00||0.00|
|20||HN2||FBA ES-T EpiSensor Accelerometer||TG||100.00||0.00||90.00||0.00|
|20||HN1||FBA ES-T EpiSensor Accelerometer||TG||100.00||0.00||0.00||0.00|
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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||2010:115||2010:114 to No Ending T||A||0.014209||0.014309||0.096992||0.082558||STS-2-SG||Random|
|00||BHZ||2010:117||2010:116 to No Ending Ti||A||0.015189||0.015083||0.10316||0.10623||STS-2-HG||Random|
Current IssuesThe KS54000 is stuck in the borehole so currently there are two STS-2s on site. Data from the STS-2 HG appears noisy and may have response problems on horizontal components.
2013-10-17The STS-2 was moved to the 00 location code because it is better installed and quieter. The STS-2 HG was moved to the 10 location code.
2010-04-29Upgraded to Q330 digitizer.