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基于模型的贝叶斯地震监测

Model-based Bayesian Seismic Monitoring
作者:Nimar S Arora 作者单位:Electrical Engineering and Computer Sciences & University of California at Berkeley 加工时间:2013-11-15 信息来源:EECS 索取原文[70 页]
关键词:概率模型;参数估计;地震综合分析;国际监测系统(IMS);传感器;网络开发
摘 要: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 nds events that are missed by the human analysts who post-process the IMS output.
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