Model-based Bayesian Seismic Monitoring
Nimar S Arora
EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2012-125
May 29, 2012
http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-125.pdf
This thesis presents the underlying probabilistic model, the parameter estimation, and the inference algorithm of NET-VISA, Network Processing Vertically Integrated Seismic Analysis. NET-VISA is an Open Universe Probability Model (OUPM) for seismic events, the transmission of seismic waves through the earth, and their detection (or misdetection) at stations, as well as a model for spurious detections. The probabilistic model allows for seamless integration of various disparate sources of information. Applied in the context of the International Monitoring System (IMS), a global sensor network developed for the Comprehensive Nuclear-Test-Ban Treaty (CTBT), NET-VISA achieves a reduction of around 60% in the number of missed events compared to the currently deployed system. It also finds events that are missed by the human analysts who post-process the IMS output.
Advisor: Stuart J. Russell
BibTeX citation:
@phdthesis{Arora:EECS-2012-125,
Author = {Arora, Nimar S},
Title = {Model-based Bayesian Seismic Monitoring},
School = {EECS Department, University of California, Berkeley},
Year = {2012},
Month = {May},
URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-125.html},
Number = {UCB/EECS-2012-125},
Abstract = {This thesis presents the underlying probabilistic model, the parameter estimation, and the inference algorithm of NET-VISA, Network Processing Vertically Integrated Seismic
Analysis. NET-VISA is an Open Universe Probability Model (OUPM) for seismic events, the transmission of seismic waves through the earth, and their detection (or misdetection) at stations, as well as a model for spurious detections.
The probabilistic model allows for seamless integration of various disparate sources of information. Applied in the context of the International Monitoring System (IMS), a global sensor network developed for the Comprehensive Nuclear-Test-Ban Treaty (CTBT), NET-VISA achieves a reduction of around 60% in the number of missed events compared to the currently deployed system. It also finds events that are missed by the human analysts who post-process the IMS output.}
}
EndNote citation:
%0 Thesis %A Arora, Nimar S %T Model-based Bayesian Seismic Monitoring %I EECS Department, University of California, Berkeley %D 2012 %8 May 29 %@ UCB/EECS-2012-125 %U http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-125.html %F Arora:EECS-2012-125