Strain to ground motion conversion of distributed acoustic sensing data for earthquake magnitude and stress drop determination

نویسندگان

چکیده

Abstract. The use of distributed acoustic sensing (DAS) presents unique advantages for earthquake monitoring compared with standard seismic networks: spatially dense measurements adapted harsh environments and designed remote operation. However, the ability to determine source parameters using DAS is yet be fully established. In particular, resolving magnitude stress drop a fundamental objective early warning. To apply existing methods parameter estimation signals, they must first converted from strain ground motions. This conversion can achieved waves' apparent phase velocity, which varies different phases ranging fast body waves slow surface scattered waves. facilitate this improve its reliability, an algorithm slowness determination presented, based on local slant-stack transform. approach yields value at each time instance series. convert strain-rate signals accelerations validated simulated data applied several earthquakes recorded by dark fibers three ocean-bottom telecommunication cables in Mediterranean Sea. emphasizes ambient noise robust even presence correlated varying wave propagation directions. Good agreement found between determined waveforms on-land seismometers both P S records. demonstrated resolve horizontal key implementation DAS-based warning, will significantly hazard mitigation capabilities offshore earthquakes, including those capable generating tsunami.

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ژورنال

عنوان ژورنال: Solid Earth

سال: 2021

ISSN: ['1869-9529', '1869-9510']

DOI: https://doi.org/10.5194/se-12-1421-2021