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Detecting and locating seismic events with using USArray as a large antenna

Abstract : We design an earthquake detection and location algorithm that explores coherence and characteristic behavior of teleseismic waves recorded by a large-scale seismic network. The procedure consists of three steps. First, for every tested source location we construct a time-distance gather by computing great-circle distances to all stations of the network and aligning the signals respectively. Second, we use the constructed gather to compute a Tau-P transform. For waves emitted by teleseismic sources, the amplitude of this transform has a very characteristic behavior with maxima corresponding to different seismic phases. Relative location of these maxima on the time-slowness plane strongly depends on the distance to the earthquake. To explore this dependence, in a third step, we convolve the Tau-P amplitude with a time-slowness filter whose maxima are computed based on prediction of a global travel-time calculator. As a result of this three-step procedure, we obtain a function that characterizes a likelihood of occurrence of a seismic event at a given position in space and time. We test the developed algorithm by applying it to vertical-component records of USArray to locate a set of earthquakes distributed around the Globe with magnitudes between 6.1 and 7.2.
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L. Retailleau, N. M. Shapiro, J. Guilbert, M. Campillo, P. Roux. Detecting and locating seismic events with using USArray as a large antenna. Advances in Geosciences, European Geosciences Union, 2015, 40, pp.27-30. ⟨10.5194/adgeo-40-27-2015⟩. ⟨insu-03580038⟩



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