Advertisement

Ambient Noise Level and Site Characterization in Northern Egypt

  • H. E. Abdel HafiezEmail author
  • Mostafa Toni
Article
  • 14 Downloads

Abstract

The characterization of the background seismic noise in any seismological network is an essential task for checking the performance of the recording stations. Hence, a funded project from Science and Technology Funding Authority (STDF) was awarded by the National Research Institute of Astronomy and Geophysics (NRIAG) in 2017 to detect the recording capabilities of the Egyptian National Seismological Network (ENSN), established after the Cairo Earthquake which occurred in Egypt on October 12, 1992. This article covers the first output of the project which shows the results of noise assessment for nine broadband stations located in northern Egypt. For a proper assessment of seismic data quality for a part of the ENSN network, the PASSCAL Quick Look Extended (PQLX) software was used, which is based on the calculation of power spectral density (PSD) and probability density function (PDF) for the background noise. The analysis covered almost one year of continuously recorded seismic data. The results show that some stations have very low detectability and higher noise level in some frequency bands which affects the recording of seismic events, while others show good performance. Complete site analysis for all stations was done to illustrate the present site response to be able to recommend whether to keep a station or to relocate it. To achieve this, the seismic noise data extracted from all stations of the considered zone was studied to determine the horizontal to vertical (H/V) spectral ratio method to study the amplification parameters of the recording site. The output of this study is useful for detecting operational problems in the northern part of the Egyptian seismological network and could be relevant for the reconfiguration and optimization of ENSN stations.

Keywords

Seismic detectability seismic PSD ENSN seismic noise H/V spectral ratio 

Notes

Acknowledgements

This project was supported financially by the Science and Technology Development Fund (STDF), Egypt, (Grant No. 25553). Our deep thanks to all members of the Department of Seismology, National Research Institute of Astronomy and Geophysics (NRIAG) for their valuable cooperation to produce this work.

References

  1. Abd el-aal, A. K. (2013). Very broadband seismic background noise analysis of permanent good vaulted seismic stations. Journal of Seismology, 17, 223–237.  https://doi.org/10.1007/s10950-012-9308-5.CrossRefGoogle Scholar
  2. Abd el-aal, A. K., Kamal, H., Abdelhay, M., & Elzahaby, K. (2015). Probabilistic and stochastic seismic hazard assessment for wind turbine tower sites in Zafarana Wind Farm, Gulf of Suez, Egypt. Bulletin of Engineering Geology and the Environment.  https://doi.org/10.1007/s10064-015-0717-x.Google Scholar
  3. Abd el-aal, A. K., & Soliman, M. S. (2013). New seismic noise models obtained using very broadband stations. Pure and Applied Geophysics, 170(11), 1849–1857.  https://doi.org/10.1007/s00024-013-0640-7.CrossRefGoogle Scholar
  4. Abdel Hafiez, H. E. (2015a). Magnitude scales regression for Egyptian seismological network. Arabian Journal of Geoscience, 8(10), 7941–7954.CrossRefGoogle Scholar
  5. Abdel Hafiez, H. E. (2015b). Estimating the magnitude of completeness for assessing the quality of earthquake catalogue of ENSN network, Egypt. Arabian Journal of Geoscience, 8(11), 9315–9323.CrossRefGoogle Scholar
  6. Abdel-Rahman, K., Abd el-aal, A. K., El-Hady, S., Mohamed, A. A., & Abdel-Moniem, E. (2012). Fundamental site frequency estimation at New Domiat city, Egypt. Arabian Journal of Geosciences, 5, 653–661.  https://doi.org/10.1007/s12517-010-0222-2.CrossRefGoogle Scholar
  7. Bendat, J. S., & Piersol, A. G. (1973). Random data: analysis and measurement procedures. New York: Wiley.Google Scholar
  8. Bonnefoy-Claudet, S., Cornou, C., Bard, P.-Y., Cotton, F., Moczo, P., Kristek, J., et al. (2006). H/V ratio: a tool for site effects evaluation. Results from 1-D noise simulations. Geophysical Journal International, 167(2), 827–837.  https://doi.org/10.1111/j.1365-246X.2006.03154.x.CrossRefGoogle Scholar
  9. Cooley, J. W., & Tukey, J. W. (1965). An algorithm for machine calculation of complex Fourier series. Mathematics of Computation, 19, 297–301.CrossRefGoogle Scholar
  10. Dunand, F., Bard, P. -Y., Chatelin, J. L., Guéguen, P. H., Vassail, T. & Farsi, M. N. (2002). Damping and frequency from randomec method applied to in situ measurements of ambient vibrations: Evidence for effective soil structure interaction. 12th European Conference on Earthquake Engineering, London. Paper# 869.Google Scholar
  11. Duval, A. M., Chatelain, J. L., Guillier, B., & the SESAME WP02 Team. (2004). Influence of experimental conditions on H/V determination using ambient vibrations (noise). Proceedings of 11th ICSDEE and third ICEGE, Berkeley CA, USA.Google Scholar
  12. EGSMA. (1981). Geologic Map of Egypt (scale 1:2,000,000), Egyptian Geological Survey and Mining Authority (EGSMA), Egyptian Ministry of Industry and Mineral Resources.Google Scholar
  13. El-Eraki, M., Mohamed, A. A., El-Kenawy, A. A., Toni, M. S., & Imam, S. M. (2012). Engineering seismological studies in and around Zagazig city, Sharkia, Egypt. NRIAG Journal of Astronomy and Geophysics, 1(2), 141–151.  https://doi.org/10.1016/j.nrjag.2012.12.009.CrossRefGoogle Scholar
  14. El-Hady, S., Fergany, S., Othman, A., & Mohamed, G. K. (2012). Seismic microzonation of Marsa Alam, Egypt using inversion HVSR of microtremor observations. Journal of Seismology, 16, 55–66.  https://doi.org/10.1007/s10950-011-9249-4.CrossRefGoogle Scholar
  15. Faried, A.M. (2013). Studying the site effect on the seismic ground motion of the Egyptian National Seismic Network stations in north Egypt. MSc thesis, Faculty of Science, Mansoura University, Egypt.Google Scholar
  16. Gok, E., Chavez-Garcia, F. H., & Polat, O. (2014). Effect of soil conditions on predicted ground motion: Case study from Western Anatolia, Turkey. Physics of the Earth and Planetary Interiors, 229, 88–97.  https://doi.org/10.1016/j.pepi.2014.01.011.CrossRefGoogle Scholar
  17. Havskov, J. & Alguacil, G. (2002). Instrumentation in Earthquake Seismology, p. 313.Google Scholar
  18. Kobayashi, K. (1980). A method for presuming deep ground soil structures by means of longer period microtremors, Proc. of the 7th WCEE, Sept. 8-13, Istanbul, Turkey, 1, 237–240.Google Scholar
  19. Lermo, J., & Chávez-García, F. J. (1994). Are microtremors useful in site response evaluation? Bulletin of the Seismological Society of America, 84–5, 1350–1364.Google Scholar
  20. McNamara, D. E., Boaz, R. I. (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.Google Scholar
  21. McNamara, D. E., & Buland, R. P. (2004). Ambient noise levels in the continental United States. Bulletin of the Seismological Society of America, 94(4), 1517–1527.CrossRefGoogle Scholar
  22. Nakamura, Y. (1989). A method for dynamic characteristics estimation of subsurface using microtremor on the ground surface. Quarterly Report of Railway Technical Research Institute, 30(1), 25–33.Google Scholar
  23. Nakamura, Y. (1996). Real time information systems for seismic hazards mitigation UREDAS, ERAS and PIC. Quart Rep Railway Tech, 37(3), 112–127.Google Scholar
  24. Nogoshi, M., & Igarashi, T. (1971). On the amplitude characteristics of microtremor (Part 2). J Seismol Soc Jpn, 24, 26–40. (in Japanese with English abstract).Google Scholar
  25. Peterson, J. (1993). Observation and modeling of seismic background noise. U. S. Geol. Surv. Tech. Rept., 93–232, 1–95.Google Scholar
  26. SESAME (2004). Site Effects Assessment Using Ambient Excitations: Guidelines for the implementation of the H/V spectral ratio technique on ambient vibrations measurements, processing and interpretation. European research project, WP12—Deliverable D23.12, December 2004.Google Scholar
  27. Sevim, F., Zor, E., Acikgoz, C., & Tarancioglu, A. (2018). Ambient noise levels and characterization in Aegean region, Turkey. Journal of Seismology, 22, 499–518.  https://doi.org/10.1007/s10950-017-9720-y.CrossRefGoogle Scholar
  28. Toni, M., Abd, A. K., & Mohamed, G. A. (2016a). Ambient noise for determination of site dynamic properties at Hurghada and Safaga cities, Red Sea, Egypt. Acta Geodynamica et Geromaterialia, 13(3), 227-240.  https://doi.org/10.13168/AGG.2016.0004.Google Scholar
  29. Toni, M., Mohamed, G.A., Abd el-aal, A.K. (2016b). Microtremor for evaluating the effect of shallow sediments on earthquake ground motion at Quseir City, Red Sea, Egypt. Near surface geoscience 2016—22nd European Meeting of Environmental and Engineering Geophysics, 4–8 September 2016, Barcelona, Spain.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.National Research Institute of Astronomy and Geophysics (NRIAG)CairoEgypt
  2. 2.Geology Department, Faculty of ScienceHelwan UniversityCairoEgypt

Personalised recommendations