Title
A frequency domain inversion code to retrieve time-dependent parameters of very long period volcanic sources
Abstract
In this article, we present a new code for the inversion of source parameters of volcanic seismic events. The code, named VOLPIS (Volcanic Long Period Inversion for the Source), has as its main goal the retrieval of time-dependent source parameters, so that both amplitudes and time history of source components can be estimated. The methodology used has been designed to be extremely flexible, in order to be easily applied to different datasets and, eventually, used for the inversion of any other seismic source with a complex source time function. Certain physical phenomena occurring at volcanic focal regions can be expressed in terms of a generalized seismic point source, as the sum of single forces and dipole forces (moment tensor). Source time histories for different source components can be kept independent, so that superposition of different physical phenomena can be retrieved, even in cases where they occur with different timing. Otherwise, a constraint for partially or fully common source time history can be included. The algorithm is based on a frequency domain approach, where the inversion is solved separately for each complex sampled frequency. The code structure helps in simplifying the handling and processing of data, which can be adapted to data characteristics or user requirements. Significant examples of possible applications to synthetic data are included.
Year
DOI
Venue
2008
10.1016/j.cageo.2007.03.018
Computers & Geosciences
Keywords
Field
DocType
seismic source,source component,time-dependent source parameter,different source component,time-dependent parameter,source time history,frequency domain inversion code,generalized seismic point source,long period volcanic source,common source time history,complex source time function,different datasets,source parameter,sampling frequency,frequency domain,point source,user requirements,synthetic data,inversion
Seismology,Frequency domain,Data mining,Superposition principle,Data processing,Tensor,Computer science,Inversion (meteorology),Algorithm,Point source,Synthetic data,Inverse problem
Journal
Volume
Issue
ISSN
34
3
Computers and Geosciences
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
S. Cesca100.34
T. Dahm200.34