HR: 08:40h
AN: S31C-03    [Abstracts]
TI: Wavelet Transforms and Volcanic Explosions
AU: * Lees, J M
EM: jonathan.lees@unc.edu
AF: University of North Carolina, Department of Geological Sciences, Chapel Hill, NC 27599 United States
AB: Estimating frequency content, arrival times and signal characteristics of exotic, multi-phase signals can be challenging for volcano seismology. Commonly used techniques like spectral analysis afford simple and understandable visualization methods, but are limited by underlying assumptions about time varying properties in stochastic processes that are non-stationary. Seismic signals, by virtue of their transient properties, require special handling and, perhaps, a multi-prong approach to understand the deeper aspects of the underlying dynamics. Wavelet transform analysis has an advantage over traditional spectrogram analysis in the localization in the time domain and the choice of basis functions appropriate for a specific problem. In this study we explore the use of wavelet transforms to investigate seismo-acoustic signals from volcanic explosions. Volcano seismology is an excellent field for application of wavelet ideas because of the extreme variability of signals and complex phenomena that underlay the interactions of multiphase flow in volcanic systems.
DE: 7230 Seismicity and tectonics (1207, 1217, 1240, 1242)
DE: 7280 Volcano seismology (8419)
DE: 7290 Computational seismology
DE: 8419 Volcano monitoring (7280)
SC: Seismology [S]
MN: Fall Meeting 2005