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Seismic Source Characterization: Context to Confidence

Description: 

We develop a probabilistic framework that advances the characterization seismic events through robust uncertainty quantification and fusion of multiple data streams. We present two complementary methods: (1) source identification through contextual data fusion, and (2) probabilistic estimation of explosive yield and depth of burial. We employ probabilistic programming to structure and exchange information across diverse data categories via hierarchal modeling. These methods are transportable across geologically diverse region overcoming limitations of conventional techniques. Unlike traditional techniques our framework provides quantitative measures of uncertainty enabling more informed decision-making for seismic monitoring applications.

Session: Advancements in Forensic Seismology and Explosion Monitoring - II

Type: Oral

Date: 4/17/2025

Presentation Time: 11:30 AM (local time)

Presenting Author: Richard

Student Presenter: No

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