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Characterization with dense array data of seismic sources in the shallow part of the San Jacinto fault zone

Abstract : We analyse dominant sources identified in a catalogue of more than 156 000 localizations performed using a 26-d data set recorded by a dense array set on the San Jacinto fault near Anza, in California. Events were localized using an array processing technique called Match Field Processing. As for all array processing techniques, the quality of the event position decrease when the events are outside of the array. We thus separate localizations in and outside the array using simple geometrical conditions. We compare the time distribution of the localization to additional data such as meteorological data, day of human activity as well as existing catalogues to determine the nature of the dominant events located using our method. We find that most of the events located outside of the array could be attributed to a surface structure excited by wind. On the other hand, part of the localizations under the array occur during regional earthquakes and could correspond to diffraction on the fault's heterogeneities. The rest of the localizations inside the array could be generated by the fault itself.
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Submitted on : Thursday, March 17, 2022 - 3:28:50 PM
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Chloé Gradon, Philippe Roux, Ludovic Moreau, Albanne Lecointre, yehuda Ben Zion. Characterization with dense array data of seismic sources in the shallow part of the San Jacinto fault zone. Geophysical Journal International, Oxford University Press (OUP), 2021, 224, pp.1133-1140. ⟨10.1093/gji/ggaa411⟩. ⟨insu-03594416⟩



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