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Obtaining free USArray data by multi-dimensional seismic reconstruction.

Yangkang Chen1, Min Bai2, Yunfeng Chen3

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|October 2, 2019
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Summary
This summary is machine-generated.

This study introduces a novel method to reconstruct missing earthquake data and reduce noise from seismic arrays like USArray. This technique improves seismic imaging and travel time measurements for a better understanding of Earth's structure.

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Area of Science:

  • Geophysics
  • Seismology
  • Earth Sciences

Background:

  • USArray project provides dense seismic data, advancing Earth structure and dynamics understanding.
  • Network irregularity in seismic arrays leads to spatial sampling alias, incomplete, and noisy data.
  • Challenges exist in array-based seismic data analysis and imaging due to data imperfections.

Purpose of the Study:

  • To develop a method for reconstructing missing seismic traces and suppressing noise in array data.
  • To enhance existing seismic recordings and obtain complete datasets from seismic arrays.
  • To improve the accuracy of seismic imaging and tomographic measurements.

Main Methods:

  • Employed an iterative rank-reduction method for data reconstruction and noise suppression.
  • Exploited spatial coherency of three-dimensional seismic data.
  • Recovered missing data elements using principal components of incomplete datasets.

Main Results:

  • Successfully reconstructed missing seismic traces and suppressed noise in USArray recordings.
  • Demonstrated enhanced spatial coherency and accuracy of tomographic travel time measurements.
  • Validated the method using simulated and real teleseismic earthquake recordings.

Conclusions:

  • The iterative rank-reduction method effectively reconstructs incomplete seismic data and enhances data quality.
  • This approach significantly benefits seismic investigations utilizing array techniques.
  • The method shows great potential for improving seismic imaging and understanding Earth's subsurface.