Articles | Volume 12, issue 6
https://doi.org/10.5194/se-12-1421-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/se-12-1421-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, IRD, Géoazur, France
Institute of Earth Sciences, The Hebrew University, Jerusalem, Israel
Anthony Sladen
Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, IRD, Géoazur, France
Diego Mercerat
CEREMA, équipe MouvGS, Sophia Antipolis, Valbonne, France
Jean-Paul Ampuero
Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, IRD, Géoazur, France
Diane Rivet
Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, IRD, Géoazur, France
Serge Sambolian
Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, IRD, Géoazur, France
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Cited
17 citations as recorded by crossref.
- Distributed acoustic sensing as a tool for subsurface mapping and seismic event monitoring: a proof of concept N. Piana Agostinetti et al. 10.5194/se-13-449-2022
- Characterizing Microearthquakes Induced by Hydraulic Fracturing With Hybrid Borehole DAS and Three-Component Geophone Data Z. Zhang et al. 10.1109/TGRS.2023.3264931
- Modeling Subsurface Explosions Recorded on a Distributed Fiber Optic Sensor R. Mellors et al. 10.1029/2021JB022690
- Distributed Acoustic Sensing: A New Tool or a New Paradigm K. Kislov & V. Gravirov 10.3103/S0747923922050085
- Earthquake Magnitude With DAS: A Transferable Data‐Based Scaling Relation J. Yin et al. 10.1029/2023GL103045
- Fiber optic strain rate sensor based on a differentiating interferometer H. Li et al. 10.1364/PRJ.468283
- Scientific Applications of Distributed Acoustic Sensing: State-of-the-Art Review and Perspective B. Gorshkov et al. 10.3390/s22031033
- Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway K. Taweesintananon et al. 10.1190/geo2022-0435.1
- Source parameter analysis using distributed acoustic sensing – an example with the PoroTomo array X. Chen 10.1093/gji/ggad061
- Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning I. Lior et al. 10.1038/s41598-023-27444-3
- Imaging an Underwater Basin and Its Resonance Modes Using Optical Fiber Distributed Acoustic Sensing I. Lior et al. 10.1785/0220210349
- Applications and limitations of distributed acoustic sensing in shallow seismic surveys and monitoring Y. Abukrat et al. 10.1190/geo2022-0574.1
- Low noise distributed acoustic sensor for seismology applications B. Gorshkov et al. 10.1364/AO.468804
- Sub‐Kilometer Correlation Between Near‐Surface Structure and Ground Motion Measured With Distributed Acoustic Sensing Y. Yang et al. 10.1029/2021GL096503
- Seismic detection with distributed acoustic sensors using a convolutional neural network in the frequency wavenumber spectrum T. Arioka & K. Nakamura 10.1364/AO.475388
- Sensitive seismic sensors based on microwave frequency fiber interferometry in commercially deployed cables A. Bogris et al. 10.1038/s41598-022-18130-x
- Distributed fiber optics strain sensors: from long to short distance W. Blanc et al. 10.5802/crgeos.129
16 citations as recorded by crossref.
- Distributed acoustic sensing as a tool for subsurface mapping and seismic event monitoring: a proof of concept N. Piana Agostinetti et al. 10.5194/se-13-449-2022
- Characterizing Microearthquakes Induced by Hydraulic Fracturing With Hybrid Borehole DAS and Three-Component Geophone Data Z. Zhang et al. 10.1109/TGRS.2023.3264931
- Modeling Subsurface Explosions Recorded on a Distributed Fiber Optic Sensor R. Mellors et al. 10.1029/2021JB022690
- Distributed Acoustic Sensing: A New Tool or a New Paradigm K. Kislov & V. Gravirov 10.3103/S0747923922050085
- Earthquake Magnitude With DAS: A Transferable Data‐Based Scaling Relation J. Yin et al. 10.1029/2023GL103045
- Fiber optic strain rate sensor based on a differentiating interferometer H. Li et al. 10.1364/PRJ.468283
- Scientific Applications of Distributed Acoustic Sensing: State-of-the-Art Review and Perspective B. Gorshkov et al. 10.3390/s22031033
- Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway K. Taweesintananon et al. 10.1190/geo2022-0435.1
- Source parameter analysis using distributed acoustic sensing – an example with the PoroTomo array X. Chen 10.1093/gji/ggad061
- Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning I. Lior et al. 10.1038/s41598-023-27444-3
- Imaging an Underwater Basin and Its Resonance Modes Using Optical Fiber Distributed Acoustic Sensing I. Lior et al. 10.1785/0220210349
- Applications and limitations of distributed acoustic sensing in shallow seismic surveys and monitoring Y. Abukrat et al. 10.1190/geo2022-0574.1
- Low noise distributed acoustic sensor for seismology applications B. Gorshkov et al. 10.1364/AO.468804
- Sub‐Kilometer Correlation Between Near‐Surface Structure and Ground Motion Measured With Distributed Acoustic Sensing Y. Yang et al. 10.1029/2021GL096503
- Seismic detection with distributed acoustic sensors using a convolutional neural network in the frequency wavenumber spectrum T. Arioka & K. Nakamura 10.1364/AO.475388
- Sensitive seismic sensors based on microwave frequency fiber interferometry in commercially deployed cables A. Bogris et al. 10.1038/s41598-022-18130-x
1 citations as recorded by crossref.
Latest update: 29 Sep 2023
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.
The increasing use of distributed acoustic sensing (DAS) inhibits the transformation of optical...
Special issue