Microseismicity Monitoring and Site Characterization With Distributed Acoustic 
Sensing (DAS): The Case of the Irpinia Fault System (Southern Italy)

Trabattoni, A.; Festa, G.; Longo, R.; Bernard, P.; Plantier, G.; Zollo, A.; Strollo, Angelo

doi:10.1029/2022JB024529

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Microseismicity Monitoring and Site Characterization With Distributed Acoustic Sensing (DAS): The Case of the Irpinia Fault System (Southern Italy)

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Trabattoni, A.
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Festa, G.
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Longo, R.
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Bernard, P.
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Plantier, G.
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Zollo, A.
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Strollo, Angelo
2.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Trabattoni, A., Festa, G., Longo, R., Bernard, P., Plantier, G., Zollo, A., Strollo, A. (2022): Microseismicity Monitoring and Site Characterization With Distributed Acoustic Sensing (DAS): The Case of the Irpinia Fault System (Southern Italy). - Journal of Geophysical Research: Solid Earth, 127, 9, e2022JB024529.
https://doi.org/10.1029/2022JB024529

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013436

Abstract

This paper reports the first results obtained thanks to the installation of a dedicated one-km fiber-optic cable, integrated within the Irpinia Near Fault Observatory regional network in Southern Italy. The cable was installed in a dry lake, located near the active faults responsible for the M6.9 earthquake that occurred in 1980. A distributed acoustic sensing (DAS) interrogator was deployed over a period of 4 months and a half and allowed to record tens of local events. To model the seismic phases observed in the recordings, simple seismic refraction experiments were conducted along with analyses of earthquakes and numerical simulations. Results show that in this peculiar geological context, DAS is mainly sensitive to waves guided horizontally by the subsurface low-velocity layered structure of the site. This leads to considerable site amplification but also wavefront deformation and allows to detect local microearthquakes without any stacking or other array processing techniques. Magnitude estimation was performed using a dedicated amplitude correction process, along with detection threshold estimation. The benefit of using stacking of DAS channels for improving signal-to-noise ratio was also estimated.