What is it about?
Sources of recorded seismic energy are typically localized by assuming the Earth's subsurface to be known. Building on the rise of dense seismic arrays across scales, we present a fully automated strategy that utilizes coherence measurements to estimate wavefront attributes. Together with natural data enhancement capabilities, these collective wavefield properties are demonstrated to allow to jointly image the medium and the source.
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Why is it important?
Many localization schemes in seismology utilize predetermined velocity models with often drastic simplifications. While historically, seismometers are typically separated by large distances, modern networks reveal a station density that allow collective properties to be utilized. The presented approach is one of the first to make intrinsic use of this dense coverage to invert for source location and velocity structure at the same time.
Perspectives
In modern-era seismology we have, for the first time, the unique opportunity to record full wavefield information. This work is a first attempt at exploiting these more complete recordings to arrive at improved reconstructions of what lies (and occurs) below our feet.
Dr Benjamin Schwarz
Fraunhofer Institute for Wind Energy Systems IWES
Read the Original
This page is a summary of: Source localisation and joint velocity model building using wavefront attributes, Geophysical Journal International, July 2019, Oxford University Press (OUP),
DOI: 10.1093/gji/ggz342.
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