Articles | Volume 12, issue 6
Research article
17 Jun 2021
Research article |  | 17 Jun 2021

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

Itzhak Lior, Anthony Sladen, Diego Mercerat, Jean-Paul Ampuero, Diane Rivet, and Serge Sambolian

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Cited articles

Ajo-Franklin, J. B., Dou, S., Lindsey, N. J., Monga, I., Tracy, C., Robertson, M., Rodriguez Tribaldos, V., Ulrich, C., Freifeld, B., Daley, T., and Li, X.: Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection, Sci. Rep., 9, 1328,, 2019. 
Aki, K. and Richards, P. G.: Quantitative seismology, 2nd ed., University Science Books, Sausalito, Calif, 700 pp., 2002. 
Anderson, J. G. and Hough, S. E.: A model for the shape of the fourier amplitude spectrum of acceleration at high frequencies, B. Seismol. Soc. Am., 74, 1969–1993, 1984. 
Brune, J. N.: Tectonic stress and the spectra of seismic shear waves from earthquakes, J. Geophys. Res., 75, 4997–5009,, 1970. 
Costa, L., Martins, H. F., Martin-Lopez, S., Fernandez-Ruiz, M. R., and Gonzalez-Herraez, M.: Fully Distributed Optical Fiber Strain Sensor With 10-12ϵ/Hz Sensitivity, J. Lightwave Technol., 37, 4487–4495,, 2019. 
Short summary
The increasing use of distributed acoustic sensing (DAS) inhibits the transformation of optical fibers into dense arrays of seismo-acoustic sensors. Here, DAS strain records are converted to ground motions using the waves' apparent velocity. An algorithm for velocity determination is presented, accounting for velocity variations between different seismic waves. The conversion allows for robust determination of fundamental source parameters, earthquake magnitude and stress drop.