HR: 12:05h
AN: V12B-08    [Abstracts]
TI: Model for high frequency Strombolian tremor inferred by wavefield decomposition and reconstruction of asymptotic dynamics
AU: De Martino, S
EM: demartino@sa.infn.it
AF: Dipartimento di Matematica e Informatica, Univerista' di Salerno, Via Ponte Don Melillo, Fisciano, SA 84084, Italy
AU: De Lauro, E
EM: delauro@sa.infn.it
AF: Dipartimento di Fisica, Univerista' di Salerno, Via S. Allende, Baronissi, SA 84081, Italy
AU: Del Pezzo, E
EM: delpezzo@ov.ingv.it
AF: Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, via Diocleziano, Napoli, NA 80100, Italy
AU: * Falanga, M
EM: rosfal@sa.infn.it
AF: Dipartimento di Fisica, Univerista' di Salerno, Via S. Allende, Baronissi, SA 84081, Italy
AU: Palo, M
EM: palo@sa.infn.it
AF: Dipartimento di Fisica, Univerista' di Salerno, Via S. Allende, Baronissi, SA 84081, Italy
AU: Scarpa, R
EM: roberto.scarpa@sa.infn.it
AF: Dipartimento di Matematica e Informatica, Univerista' di Salerno, Via Ponte Don Melillo, Fisciano, SA 84084, Italy
AB: We study the volcanic tremor time series recorded by a broadband three component seismic network installed at Stromboli volcano during 1997. By using decomposition methods in both frequency and time domains, we prove that Strombolian tremor can be described as a linear combination of nonlinear signals in time domain. These "components" are similar to those obtained for explosion-quakes, with the only difference being the amplitude enhancement. We characterize each of these nonlinear signals both in terms of their wavefield properties as well as dynamic systems. Moreover, we take into account the complex processes of magma flow and turbulent degassing, looking at time and amplitude modulation of tremor on a suitable scale. The distribution of tremor amplitudes is Gaussian while the inter-times between the maxima in a suitable scale are described by a Poisson clustered process. Starting from these analyses, a first approximate model for volcanic tremor field can be deduced. The recorded signals, i.e. the elastic vibrations at a point, can be described by a nonlinear equation which gives limit cycles (different observed "nonlinear modes"). This equation is governed by a time dependent threshold which represents the variability of bubble flux. We take into account some inelasticity in the medium perturbing the elastic potential with a Gaussian function on a suitable scale. It acts as a radiance function modulating the frequency of the limit cycle. This proposed model is able to reproduce waveform, Fourier spectrum, and phase space dimension of one of the extracted nonlinear wave packets.
DE: 3270 Time series analysis (1872, 4277, 4475)
DE: 7280 Volcano seismology (8419)
DE: 7859 Transport processes
DE: 8428 Explosive volcanism
SC: Volcanology, Geochemistry, Petrology [V]
MN: 2007 Fall Meeting