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Authors: Bianco, F.* 
Zaccarelli, L.* 
Castellano, M.* 
Gargiulo, G.* 
Title: Complex wavelet transform: an application to retrieve shear wave splitting time behavior at Mt. Vesuvius
Journal: Bollettino di Geofisica Teorica ed Applicata 
Series/Report no.: /51 (2010)
Publisher: OGS, Trieste
Issue Date: Jun-2010
Keywords: wave splitting
wavelet transform
Mt. Vesuvius
Subject Classification04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring 
04. Solid Earth::04.06. Seismology::04.06.07. Tomography and anisotropy 
04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology 
04. Solid Earth::04.06. Seismology::04.06.09. Waves and wave analysis 
Abstract: Shear wave splitting is the elastic-equivalent of the well-known phenomenon of optical birefringence. A shear wave propagating through an anisotropic volume splits into two S waves (qS1 and qS2) that travel with different velocities and different polarization directions. This process generates two observables: Td that is the time delay between the two split S-waves, and the polarization direction of the faster one, qS1. In the upper crust this phenomenon has been interpreted to occur in zones of fluid-filled cracks, microcracks or preferentially oriented pore spaces. The time evolution of anisotropic distribution of microcracks due to a differential stress, according to the nonlinear anisotropic poroelasticity (APE) model, is explained by the fluid migration along pressure gradients between neighboring microcracks and pores. In this framework the shear wave splitting parameters are indicators of the state of stress in the upper crust. We obtained shear wave splitting measurements for local earthquakes occurred before the largest earthquake (M= 3.6 occurred October 9th, 1999) recorded at Mt. Vesuvius after the last eruption (March 1944). The arrival times of split shear waves and the polarization directions were detected by using the wavelet transform of a three-component signal. In order to avoid any spatial effects on the time behavior of the parameters, we performed the analysis for a selected dataset of doublets. Short term (of the order of tenth of days) variation of both Td and qS1 parameters are retrieved before the occurrence of the M=3. 6 event.
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