• Seismic shockwave pattern may be redirec

    From ScienceDaily@1:317/3 to All on Tue Nov 16 21:30:40 2021
    Seismic shockwave pattern may be redirecting earthquake damage

    Date:
    November 16, 2021
    Source:
    University of Texas at Austin
    Summary:
    According to physics, seismic waves from earthquakes should
    travel in a four-leaf clover pattern, but in the real world they
    behave more like ripples in a pond. New research has found the
    pattern hidden among low- frequency seismic waves, the kind that
    can topple buildings. The study looked at small earthquakes in
    northern Oklahoma and could change the way scientists think about
    potential damage from earthquakes.



    FULL STORY ==========================================================================
    New research from The University of Texas at Austin could change the
    way scientists think about potential damage from earthquakes.


    ==========================================================================
    The study examined data from one of the densest seismic arrays ever
    deployed and found that earthquakes emit their strongest seismic
    shockwaves in four opposing directions. The effect, which leaves a
    pattern resembling a four-leaf clover, has been known for decades but
    never measured in such vivid detail.

    Daniel Trugman, an earthquake geophysicist at the Department for
    Geological Sciences in the UT Jackson School of Geosciences, said that
    the study looked at only one type of seismic shaking caused by very
    small earthquakes in northern Oklahoma.

    "What's important in these results is that close to the source we're
    seeing a variation in ground motion, and that's not accounted for in
    any sort of hazard model," Trugman said. He added that efforts were
    already underway to see how the phenomena plays out in California's big
    fault systems.

    The analysis was published in the September issue of Geophysical Research Letters and is based on measurements of two-dozen small earthquakes
    recorded by the LArge-n Seismic Survey in Oklahoma (LASSO), an array of
    1,829 seismic sensors deployed for 28 days in 2016 to monitor a remote
    corner of the state measuring 15 by 20 miles.

    When earthquakes strike, they release a thunderclap of seismic energy at
    many frequencies, but the actual ground shaking people feel ranges from
    about 1 hertz to 20 hertz. The study found that low frequency energy --
    about 1 to 10 hertz -- shot from the fault in four directions, but barely registered outside of the four-leaf clover pattern. This is important
    because buildings are more vulnerable to low frequency waves. The
    four-leaf clover pattern wasn't found for higher frequency waves, which travelled at equal strength in all directions, like ripples in a pond.



    ========================================================================== Co-author Victor Tsai, a geophysicist at Brown University, said that
    the reason the Earth shook unevenly at different frequencies might have something to do with the complex geometry of earthquake faults and the broken-up material packed between them.

    "What happens when you have an earthquake is that pieces of broken rock
    inside the fault zone start to move around like pinballs," he said. The jostling pieces redirect the energy randomly but at lower frequencies,
    seismic waves simply bypass the rough geologic mess near the fault,
    travelling in a nice four-leaf clover pattern just as physics predicts.

    This means that on the surface, a person might feel the same shaking
    regardless of where they stood, but buildings -- which are sensitive
    to low frequency waves -- would feel the earthquake much more intensely
    within the lines of the four-leaf clover pattern.

    Geophysicists have long known about this pattern; it's taught in
    seismology 101. But, until now, evidence of its effect has been
    sparse. That's because over large distances seismic waves are refracted regardless of frequency, smoothing out their differences and making
    earthquakes seem the same in all directions.

    Near an earthquake's source, however, the pattern should be
    distinct. That's where the LASSO array came in. Its closely packed sensors recorded earthquakes while they were unfolding, gathering measurements
    from hundreds of locations in northern Oklahoma that the U.S. Geological Survey, which funded and deployed the array, made freely available online.

    To test their idea about uneven shaking near faults, Trugman developed algorithms to filter the LASSO data. At low frequencies, each earthquake
    showed a four-leaf clover pattern of shaking; at higher frequencies
    there was no clear pattern, just as Tsai had predicted.

    Although the tremors recorded by the LASSO array were barely perceptible,
    the physics that drive them should be the same for stronger quakes. The scientists have already begun examining larger faults to see whether
    their age or shape can change the intensity of ground motion. Their goal
    is to build a catalogue of earthquake zones, showing which faults can
    generate the strongest and most dangerous types of seismic waves.

    The research was funded by the U.S. Geological Survey and the National
    Science Foundation. Trugman is also a researcher at the University
    of Texas Institute for Geophysics, a unit of the Jackson School of
    Geosciences.

    ========================================================================== Story Source: Materials provided by University_of_Texas_at_Austin. Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Daniel T. Trugman, Shanna X. Chu, Victor C. Tsai. Earthquake Source
    Complexity Controls the Frequency Dependence of Near‐Source
    Radiation Patterns. Geophysical Research Letters, 2021; 48 (17)
    DOI: 10.1029/2021GL095022 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2021/11/211116144816.htm

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