Evaluation of Saudi National Seismic Network (SNSN) detectability

  • M. Sami SolimanEmail author
  • Hani M. Zahran
  • Salah Y. Elhadidy
  • Wael W. Alraddadi
S. I. GSF 2018
Part of the following topical collections:
  1. Seismic and Earthquake Engineering Studies in the Arabian Plate and the Surrounding Region


In this paper, we present the first detailed study of earthquake detection capabilities of the Saudi National Seismic Network (SNSN), which is operated since 2006 by National Center of Earthquakes and Volcanoes, Saudi Geological Survey (SGS). Seismic monitoring in Saudi Arabia has a great improvement after the installation of the Saudi National Seismic Network and upgrading the previous analog telemetry networks. The spatial distribution of the seismic stations covers most of Saudi Arabia and concentrated mainly in the Western part. Since the operation of the network, a significant number of local, regional, and teleseismic events are located by manually and automatic processing. Consequently, the data was revised and archived in the databases. The detection-location capability of the Saudi National Seismic Network has been estimated for the period 2016–2017. The obtained maps show that the network in this time period has the ability to detect and locate earthquakes occurred in Saudi Arabia and its surroundings. For the present network configuration and stations characteristics, the technique determines the lowest magnitude of events that the seismic network is able to detect, locate, and estimate errors in both location and origin time for different magnitudes. According to the obtained results in this study, all Harrats (volcanic) regions and recent active areas as Jazan, North Umluj, and the Gulf of Aqaba indicate that the detectability level is less than magnitude (ML) < 1.0, and have adequate seismic stations. While Harrat layyniar volcanic region has a superior detectability level that can detect events with negative magnitude down to − 0.3 ML. The middle and the northern parts of Saudi Arabia are covered with reasonable number of seismic stations; therefore, they have a moderate completeness of magnitudes ML 2.7. As a final result, the SNSN with its current status is capable to detect all events occur inside the Saudi Arabia and its surroundings, except the Rub’ al Khali region, because it has no seismic stations installed.


Seismic network SNSN Detectability Earthquakes monitoring Magnitude completeness 


  1. Alsaker A, Kvamme LB, Hansen RA, Dahle A, Bungum H (1991) The ML scale in Norway. Bull Seismol Soc Am 81(2):379–398Google Scholar
  2. Bormann P (2012) Magnitude calibration formulas and tables, comments on their use and complementary data. In: Bormann P (ed) New Manual of Seismological Observatory Practice 2 (NMSOP-2). Deutsches GeoForschungsZentrum GFZ, Potsdam, pp 1–19. CrossRefGoogle Scholar
  3. Cao A, Gao S (2002) Temporal variation of seismic b-values beneath northeastern Japan Island Arc. Geophys Res Lett 29:48-1–48-3. CrossRefGoogle Scholar
  4. Fischer T, Bachura M (2014) Detection capability of seismic network based on noise analysis and magnitude of completeness. J Seismol 18:137–150. CrossRefGoogle Scholar
  5. Ghica D (2011) Detection capabilities of the BURAR seismic array—contributions to the monitoring of regional and distant seismicity. J Seismol 15:487–506. CrossRefGoogle Scholar
  6. Gomberg J (1991) Seismicity and detection/location threshold in the Southern Great Basin seismic network. J Geophys 96:16401CrossRefGoogle Scholar
  7. Klein RF (2014) User's guide to HYPOINVERSE-2000, a Fortran program to solve for earthquake locations and magnitudes, version 1.40, June 2014. es. 96, no. 16,401–16,414
  8. Kraft T, Mignan A, Giardini D (2013) Optimization of a large-scale microseismic monitoring network in northern Switzerland. Geophys J Int 195:474–490. CrossRefGoogle Scholar
  9. Kristeková M, Skáčiková I (1997) Detection capability of selected seismic stations in central Europe. Stud Geophys Geod 41(2):149–163. CrossRefGoogle Scholar
  10. Mignan A, Werner MJ, Wiemer S, Chen CC, Wu YM (2011) Bayesian estimation of the spatially varying completeness magnitude of earthquake catalogs. Bull Seismol Soc Am 101(3):1371–1385CrossRefGoogle Scholar
  11. Nanjo K, Ishibe T, Tsuruoka H, Schorlemmer D, Ishigaki Y, Hirata N (2010) Analysis of the completeness magnitude and seismic network coverage of Japan. Bull Seismol Soc Am 100:3261–3268. CrossRefGoogle Scholar
  12. Pirhonen SE, Ringdal F, Berteussen K-A (1976) Event detectability of seismographs stations in Fennoscandia. Phys Earth Planet Inter 12(1976):329–342CrossRefGoogle Scholar
  13. Ringdal F (1975) On the estimation of seismic detection thresholds. Bull Seismol Soc Am 65:1631–1642Google Scholar
  14. Ringdal F, Husebye ES, Fyen (1977) Earthquake detectability estimates for 478 globally distributed seismograph stations. Phys Earth Planet Inter 15. CrossRefGoogle Scholar
  15. Schorlemmer D, Woessner J (2008) Probability of detecting an earthquake. Bull Seismol Soc Am 98:2103–2117. CrossRefGoogle Scholar
  16. Schorlemmer D, Mele F, Marzocchi W (2010) A completeness analysis of the National Seismic Network of Italy. J Geophys Res 115:B04308. CrossRefGoogle Scholar
  17. Wiemer S, Wyss M (2002) Mapping spatial variability of the frequency-magnitude distribution of earthquakes. Adv Geophys 45. CrossRefGoogle Scholar

Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  • M. Sami Soliman
    • 1
    • 2
    Email author
  • Hani M. Zahran
    • 1
  • Salah Y. Elhadidy
    • 1
    • 2
  • Wael W. Alraddadi
    • 1
  1. 1.Saudi Geological SurveyJeddahSaudi Arabia
  2. 2.National Research Institute of Astronomy and GeophysicsHelwanEgypt

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