Encyclopedia of Earthquake Engineering

2015 Edition
| Editors: Michael Beer, Ioannis A. Kougioumtzoglou, Edoardo Patelli, Siu-Kui Au

Seismic Network and Data Quality

  • Peter H. VossEmail author
  • Lars Ottemöller
Reference work entry
DOI: https://doi.org/10.1007/978-3-642-35344-4_193

Synonyms

Earthquake monitoring; Seismometer sensitivity; Instrument response; Ambient noise; Data latency

Introduction

Measuring of ground motion provides the most essential observations made from earthquakes and the basis for research within seismology and earthquake engineering. The measurements are done by seismic stations that are equipped with sophisticated instruments and are placed at specific selected locations. The good quality of these data is obviously important but can only be achieved if many different factors are considered. Often, the approach is adjusted to the scientific or monitoring needs and the available funding. This section deals with systems of seismic stations, so-called seismic networks and data quality-related issues.

Seismic Networks

Seismic networks are systems of individual seismic stations with the purpose to monitor ground motion. The size and configurations of seismic networks depend on the focus area and type of signals that are to be recorded. The...
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References

  1. Carter JA, Barstow N, Pomeroy PW, Chael EP, Leahy PJ (1991) High-frequency seismic noise as a function of depth. Bull Seismol Soc Am 81:1101–1114Google Scholar
  2. Clinton J, Heaton T (2002) Potential advantages of a strong-motion velocity meter as opposed to a strong motion accelerometer. Seismol Res Lett 73:332–342CrossRefGoogle Scholar
  3. Forbriger T, Widmer-Schnidrig R, Wielandt E, Mark Hayman M, Ackerley N (2010) Magnetic field background variations can limit the resolution of seismic broad-band sensors. Geophys J Int 183(1):303–312. doi:10.1111/j.1365-246X.2010.04719.xCrossRefGoogle Scholar
  4. Hanka W, Heinloo A, Jaeckel KH (2000) Networked seismographs: GEOFON real-time data distribution. ORFEUS Newsl 2(3):1–24Google Scholar
  5. Havskov J, Alguacil G (2010) Instrumentation in earthquake seismology. Springer, Dordrecht, p 349Google Scholar
  6. Havskov J, Ottemöller L (2010) Routine data processing in earthquake seismology with sample data, exercises and software. Springer, New York, p 380CrossRefGoogle Scholar
  7. Hutt CR, Bolton HF, Holcomb LG (2002) Seismograph networks. In: Lee WHK, Jennings P, Kisslinger C, Kanamori H (eds) International handbook of earthquake & engineering seismology, part 1. Academic Press, p 1200Google Scholar
  8. McNamara DE, Boaz RI (2005) Seismic noise analysis system, power spectral density probability density function: stand-alone software package, United States geological survey open file report, No. 2005–1438, p 30Google Scholar
  9. McNamara DE, Buland RP (2004) Ambient noise levels in the continental United States. Bull Seismol Soc Am 94(4):1517–1527CrossRefGoogle Scholar
  10. Peterson J (1993) Observations and modeling of background seismic noise. Open file report 92–302, U.S. Geological Survey, AlbuquerqueGoogle Scholar
  11. Scherbaum F (2001) Of poles and zeros. Fundamentals of digital seismology, vol 15, 2nd edn, Modern approaches in geophysics. Kluwer, Boston, p 269Google Scholar

Further Reading

  1. The most complete coverage of these topics is probably given in the New Manual of Seismological Observatory Practice (http:/nmsop.gfz-potsdam.de), giving an overview, the theoretical background, as well as examples and information sheets. Textbooks on seismic instrumentation are Havskov and Alguacil (2010) and Scherbaum (2001). A textbook on data processing for earthquake seismology is Havskov and Ottemöller (2010). Stein and Wysession (2003) and Lay and Wallace (1995) also have relevant chapters.

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Geological Survey of Denmark and Greenland – GEUSCopenhagen KDenmark
  2. 2.Department of Earth ScienceUniversity of BergenBergenNorway