Earthquake early warning system using real-time signal processing

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An earthquake warning system has been developed to provide a time series profile from which vital parameters such as the time until strong shaking begins, the intensity of the shaking, and the duration of the shaking, can be derived. Interaction of different types of ground motion and changes in the elastic properties of geological media throughout the propagation path result in a highly nonlinear function. We use neural networks to model these nonlinearities and develop learning techniques for the analysis of temporal precursors occurring in the emerging earthquake seismic signal. The warning system is designed to analyze the first-arrival from ... continued below

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51 p.

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Leach, R.R. Jr. & Dowla, F.U. February 1, 1996.

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Description

An earthquake warning system has been developed to provide a time series profile from which vital parameters such as the time until strong shaking begins, the intensity of the shaking, and the duration of the shaking, can be derived. Interaction of different types of ground motion and changes in the elastic properties of geological media throughout the propagation path result in a highly nonlinear function. We use neural networks to model these nonlinearities and develop learning techniques for the analysis of temporal precursors occurring in the emerging earthquake seismic signal. The warning system is designed to analyze the first-arrival from the three components of an earthquake signal and instantaneously provide a profile of impending ground motion, in as little as 0.3 sec after first ground motion is felt at the sensors. For each new data sample, at a rate of 25 samples per second, the complete profile of the earthquake is updated. The profile consists of a magnitude-related estimate as well as an estimate of the envelope of the complete earthquake signal. The envelope provides estimates of damage parameters, such as time until peak ground acceleration (PGA) and duration. The neural network based system is trained using seismogram data from more than 400 earthquakes recorded in southern California. The system has been implemented in hardware using silicon accelerometers and a standard microprocessor. The proposed warning units can be used for site-specific applications, distributed networks, or to enhance existing distributed networks. By producing accurate, and informative warnings, the system has the potential to significantly minimize the hazards of catastrophic ground motion. Detailed system design and performance issues, including error measurement in a simple warning scenario are discussed in detail.

Physical Description

51 p.

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OSTI as DE96010831

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  • 1996. Institute of Electrical and Electronics Engineers (IEEE) workshop on neural networks for signal processing, Keihanna (Japan), 4-6 Sep 1996

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  • Other: DE96010831
  • Report No.: UCRL-JC--123270
  • Report No.: CONF-9609132--1
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 267474
  • Archival Resource Key: ark:/67531/metadc673017

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  • February 1, 1996

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  • June 29, 2015, 9:42 p.m.

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  • Feb. 18, 2016, 12:34 p.m.

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Leach, R.R. Jr. & Dowla, F.U. Earthquake early warning system using real-time signal processing, article, February 1, 1996; California. (digital.library.unt.edu/ark:/67531/metadc673017/: accessed August 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.