AIMS Geosciences, 2017, 3(3): 438-449. doi: 10.3934/ms.2017.3.438.

Research article

Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

Using Dynamic Fourier Analysis to Discriminate Between Seismic Signals from Natural Earthquakes and Mining Explosions

1 Department of Mathematical Sciences, University of Texas at El Paso, El Paso, Texas, 79968-0514, USA
2 Department of Geological Sciences, University of Texas at El Paso, El Paso, Texas, 79968-0514, USA
3 Computational Science Program, University of Texas at El Paso, El Paso, Texas, 79968-0514, USA

A sequence of intraplate earthquakes occurred in Arizona at the same location where miningexplosions were carried out in previous years. The explosions and some of the earthquakes generatedvery similar seismic signals. In this study Dynamic Fourier Analysis is used for discriminating signalsoriginating from natural earthquakes and mining explosions. Frequency analysis of seismogramsrecorded at regional distances shows that compared with the mining explosions the earthquake signalshave larger amplitudes in the frequency interval ~ 6 to 8 Hz and significantly smaller amplitudes inthe frequency interval ~ 2 to 4 Hz. This type of analysis permits identifying characteristics in theseismograms frequency yielding to detect potentially risky seismic events.
  Figure/Table
  Supplementary
  Article Metrics

Keywords Dynamic Fourier Analysis; Fast Fourier Transform; intraplate earthquakes; miningexplosions; Arizona earthquakes

Citation: Maria C. Mariani, Hector Gonzalez-Huizar, Md Al Masum Bhuiyan, Osei K. Tweneboah. Using Dynamic Fourier Analysis to Discriminate Between Seismic Signals from Natural Earthquakes and Mining Explosions. AIMS Geosciences, 2017, 3(3): 438-449. doi: 10.3934/ms.2017.3.438

References

  • 1. Kim WY, Aharonian V, Abbers G, et al. (1997) Discrimination of Earthquakes and Explosionsin Southern Russia Using Regional High-Frequency Three-Component Data from the IRIS/JSPCaucasus Network. Bull Seismol Soc Am 87: 569-588.
  • 2. Arrowsmith MD, Arrowsmith SJ, Stump B, et al. (2005) Discrimination of Small Events UsingRegional Waveforms: Application to Seismic Events in the US and Russia. Proc 27th Seis ResRev: Ground Based Nuclear Explos Monit Technol 498-508.
  • 3. Xie J (2002) Source Scaling of Pn and Lg Spectra and Their Ratios from Explosions in CentralAsia: Implications for the Identification of Small Seismic Events at Regional Distances. J GeophysRes 107: 2128.
  • 4. Grunwald GK, Hyndman RJ, Tedesco LM (1996) A Unified View of Linear AR(1) Models.Unpublished paper.
  • 5. Said SE, Dickey D (1984) Testing for Unit Roots in Autoregressive Moving-Average Models withUnknown Order. Biom 71: 599-607.
  • 6. Zivot E, Wang J (2006) Modeling Financial Time Series with S-PLUS, Springer, 111-139.
  • 7. Beccar-Varela MP, Gonzalez-Huizar H, Mariani MC, et al. (2016) Use of Wavelets Techniques toDiscriminate Between Explosions and Natural Earthquakes. Phys A: Stat Mech Appl 457: 42-51.    
  • 8. Press WH, Teukolsky SA, Vetterling WT, et al. (1992) Numerical Recipes in C- The Art ofScientific Computing, 2 Eds., Cambridge University Press, 537-545.
  • 9. Shumway RH, Sto er DS (2010) Time Series Analysis and its Applications With R Examples, 3Eds., Springer, 230-235.
  • 10. Cryer JD, Chan KS (2008) Time Series Analysis with its Applications in R, 2 Eds., Springer,351-367, 322-328.
  • 11. Gubbins D (2004) Time Series Analysis and Inverse Theory for Geophysicists. Camb Univ Press47: 180-184.
  • 12. Walter WR, Matzel E, Pasyanos ME, et al. (2007) Empirical Observations of Earthquake-Explosion Discrimination Using P/S Ratios and Implications for the Sources of ExplosionS-Waves, Lawrence Livermore National Lab CA. 29th Research Review on Nuc Explo Monit TechDenver CO United States.

 

Reader Comments

your name: *   your email: *  

Copyright Info: © 2017, Osei K. Tweneboah, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Copyright © AIMS Press All Rights Reserved