A Method to Establish Seismic Noise Baselines for Automated Station Assessment

McNamara, Daniel E.; Hutt, C. R.; Gee, L. S.; Benz, H.; Buland, Ray

doi:10.1785/gssrl.80.4.628

Cited by 69 publications

(38 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Earthquake-dominated and microseism-dominated spectra can thus be reliably discriminated via spectral detection. PSDs with frequency bins that are 95% outside of the 1st through the 80th PSD percentiles at periods >30 s (5th through 80th for some earlier stations; Figures S1c and S1d) are removed from further consideration [McNamara et al, 2009] to produce an earthquake-culled data set.…”

Section: Discussionmentioning

confidence: 99%

Global trends in extremal microseism intensity

Aster

McNamara

Bromirski

2010

Geophysical Research Letters

View full text Add to dashboard Cite

Globally ubiquitous seismic background noise peaks near 7 and 14 s period are generated via distinct mechanisms that transfer storm‐generated gravity wave energy to the seismic wave field. We utilize continuous digital ground motion data recorded by the Global Seismographic Network and precursor instrumentation to chronicle microseism power extreme events for 1972–2009. Because most land‐observed microseism surface‐wave energy is generated at or near coasts, microseism metrics are particularly relevant to assessing changes in coastal ocean wave energy. Extreme microseism winter storm season event counts reveal the widespread influence of the El Niño Southern Oscillation (ENSO). Individual station and ensemble slopes trend positive for this study period for Northern Hemisphere stations. The double‐frequency microseism is particularly volatile, suggesting that the weaker single‐frequency microseism directly generated by ocean swell at coasts is likely a more representative seismic proxy for broad‐scale ocean wave energy estimation.

show abstract

Section: Discussionmentioning

confidence: 99%

Global trends in extremal microseism intensity

Aster

McNamara

Bromirski

2010

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…All the available data acquired are used without removal of the earthquakes, data glitches or system transients. For the direct comparison with New Low Noise Model (NLNM) and New High Noise Model (NHNM), the instrument transfer function is deconvolved with the individual time segments (McNamara et al 2009). …”

Section: Power Spectral Density and Calculationsmentioning

confidence: 99%

“…Hence, for the proper analysis of the seismic stations, we have used an USGS-developed open source software PQLX, which uses the waveform and the instrument response files to generate the PSDs and PDFs (McNamara et al 2009). The hour-long continuous time series data segments are processed by removing mean, long period trend which reduces the number of operation and long period contamination.…”

Section: Power Spectral Density and Calculationsmentioning

confidence: 99%

See 1 more Smart Citation

Seismic noise analysis of broadband stations in the Eastern Ghat Mobile Belt of India using power spectral density

Jana

Singh

Biswas

et al. 2017

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

The seismic background noise is studied at newly constructed sites of the Eastern Ghat Mobile Belts (EGMB), in Orissa. Ten broadband stations have been deployed along two profiles. The area has not been previously attempted for any broadband experiment. To assess the performance of the stations, we investigate the characteristics of different types of noises dominated at those sites. The power spectral densities of ambient background noise for each site are calculated and compared with the global noise model. The results suggest that the noise levels at all stations that belong to profile-1 are within the global high and low bounds. Along profile-2, the station PATN stabilizes after some time post-deployment while noise levels at other two stations are within the proposed limits. Results show that profile-1 is predominated by cultural noise, and the microseismic noise levels are observed to be low in both the profiles. Assessment of the temporal and seasonal variation of the noise has also been done, along with the calculation of the power spectral densities in the East and North components of the seismometer for this station. Overall, our observations suggest that installation of the seismometers have been successful in all the sites.

show abstract

“…Indeed, the quality of the data from broadband stations is continuously controlled in quasi-realtime using "PQLX" (Pascal Quick Look eXtended) software (McNamara, 2009) to compute the PDFs (Probability Density Function) and PSDs (Power Spectral Density) of the recordings at different stages of installation and during the operation of the stations (Fig. 3a).…”

Section: Broadband Data Quality Analysismentioning

confidence: 99%

The new Algerian Digital Seismic Network (ADSN): towards an earthquake early-warning system

Yelles‐Chaouche

Allili²,

Alili³

et al. 2013

Adv. Geosci.

View full text Add to dashboard Cite

Abstract. Seismic monitoring in Algeria has seen great changes since the Boumerdes earthquake of 21 May 2003. Indeed, the installation of a new digital seismic network has resulted in a significant upgrade of the previous analog telemetry network.During the last four years, the number of stations in operation has increased substantially from 25 to 69, and 20 of these are broadband, 2 are very broadband, 47 are short period. 21 are equipped with accelerometers. They are all managed by Antelope software from Kinemetrics (US Cie), and they are all connected in real time and use various modes of transmission (e.g., satellite, internet, mobile phone). The spatial repartition of the stations now cover most of northern Algeria. In addition, 70 GPS stations have recently been added to this seismological network, most of them collocated with the seismological stations.Since the installation of the network, the records of local or distant events have improved significantly. The automatic processing of the data in a few minutes allows alert messages to be distributed to Civil Defense and other national authorities to react promptly to any emergency. The current strategy is to improve the data quality, to increase the density of the network by adding about 50 new stations, to reduce the processing time, and to reduce the time needed to send out an alert message. The result should be greatly improved network performance, which will lead to an effective earlywarning system.

show abstract

A Method to Establish Seismic Noise Baselines for Automated Station Assessment

Cited by 69 publications

References 12 publications

Global trends in extremal microseism intensity

Global trends in extremal microseism intensity

Seismic noise analysis of broadband stations in the Eastern Ghat Mobile Belt of India using power spectral density

The new Algerian Digital Seismic Network (ADSN): towards an earthquake early-warning system

Contact Info

Product

Resources

About