Model-based Bayesian Seismic Monitoring
- Author(s): Arora, Nimar S.
- Advisor(s): Russell, Stuart
- et al.
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