Towards data fusion in seismic monitoring: Source characterization of mining blasts with acoustic and seismic records

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Event identification that combines data from a diverse range of sensor types, such as seismic, hydroacoustic, infrasound, optical, or acoustic sensors, has been discussed recently as a way to improve treaty monitoring technology, especially for a Comprehensive Test Ban Treaty. In this exploratory study the authors compare features in acoustic and seismic data from ripple-fired mining blasts, in an effort to understand the issues of incorporating data fusion into seismic monitoring. They study the possibility of identifying features such as spectral scalloping at high frequencies using acoustic signals recorded in the near field during mining blasts. Recorded acoustic and seismic ... continued below

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20 p.

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Leach, R.R. Jr. & Dowla, F.U. July 1, 1995.

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Description

Event identification that combines data from a diverse range of sensor types, such as seismic, hydroacoustic, infrasound, optical, or acoustic sensors, has been discussed recently as a way to improve treaty monitoring technology, especially for a Comprehensive Test Ban Treaty. In this exploratory study the authors compare features in acoustic and seismic data from ripple-fired mining blasts, in an effort to understand the issues of incorporating data fusion into seismic monitoring. They study the possibility of identifying features such as spectral scalloping at high frequencies using acoustic signals recorded in the near field during mining blasts. Recorded acoustic and seismic data from two mining blasts at Carlin, Nevada, were analyzed. The authors have found that there is a clear presence of the periodic and impulsive nature of the ripple-fire source present in the acoustic recordings at high frequencies. They have discovered that the arrival time and duration of the acoustic recordings are also clearly discernible at high frequencies. This is in contrast to the absence of these features in seismic signals, due to attenuation and scattering at high frequencies. The association of signals from different sensors offers solutions for difficult monitoring problems. Seismic or acoustic signals individually may not be able to detect a nuclear test hidden under a typical mining blast. However, the presence of an underground nuclear test during a mining event could be determined by deriving the mining explosion source from the acoustic recording, modeling a seismic signal from the derived source, and subtracting the modeled seismic signal from the seismic recording for the event. Recommendations in the design of data fusion systems for treaty monitoring are suggested.

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20 p.

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OSTI as DE96003826

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  • Other Information: PBD: Jul 1995

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  • Other: DE96003826
  • Report No.: UCRL-ID--122623
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/171276 | External Link
  • Office of Scientific & Technical Information Report Number: 171276
  • Archival Resource Key: ark:/67531/metadc619506

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • July 1, 1995

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • Feb. 23, 2016, 12:45 p.m.

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Leach, R.R. Jr. & Dowla, F.U. Towards data fusion in seismic monitoring: Source characterization of mining blasts with acoustic and seismic records, report, July 1, 1995; California. (digital.library.unt.edu/ark:/67531/metadc619506/: accessed October 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.