Locating Surface Explosions by Combining Seismic and Infrasound Data
Abstract
An outline of a Bayesian source location framework for using seismic and acoustic observations is developed and tested on synthetic and real data. Seismic and acoustic phenomena are both commonly used in detection and location of a variety of natural or man–made events, such as volcanic eruptions, quarry blasts, and military exercises. Typically, seismic and acoustic observations have been utilized independently of each other. Here, we outline a Bayesian formulation for combining the two observations in a single estimate of the location and origin time. Using realistic estimates of uncertainty, we subsequently explore how combining the different observation types can benefit event location at local to near–regional distances. We apply the method to synthetic data and to real observations from a mining blast in Bingham Mine in Utah. Our findings suggest that, for relatively sparse or azimuthally limited observations, the relative strengths of the two different phenomenologies enable more precise joint–event localization than either seismic or infrasonic measurements alone.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Univ. of Arizona, Tucson, AZ (United States)
- Southern Methodist Univ., Dallas, TX (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1529000
- Report Number(s):
- SAND-2019-3699J
Journal ID: ISSN 0895-0695; 674338
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Seismological Research Letters
- Additional Journal Information:
- Journal Name: Seismological Research Letters; Journal ID: ISSN 0895-0695
- Publisher:
- Seismological Society of America
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES
Citation Formats
Koch, Clinton D., and Arrowsmith, Stephen John. Locating Surface Explosions by Combining Seismic and Infrasound Data. United States: N. p., 2019.
Web. doi:10.1785/0220190017.
Koch, Clinton D., & Arrowsmith, Stephen John. Locating Surface Explosions by Combining Seismic and Infrasound Data. United States. https://doi.org/10.1785/0220190017
Koch, Clinton D., and Arrowsmith, Stephen John. Wed .
"Locating Surface Explosions by Combining Seismic and Infrasound Data". United States. https://doi.org/10.1785/0220190017. https://www.osti.gov/servlets/purl/1529000.
@article{osti_1529000,
title = {Locating Surface Explosions by Combining Seismic and Infrasound Data},
author = {Koch, Clinton D. and Arrowsmith, Stephen John},
abstractNote = {An outline of a Bayesian source location framework for using seismic and acoustic observations is developed and tested on synthetic and real data. Seismic and acoustic phenomena are both commonly used in detection and location of a variety of natural or man–made events, such as volcanic eruptions, quarry blasts, and military exercises. Typically, seismic and acoustic observations have been utilized independently of each other. Here, we outline a Bayesian formulation for combining the two observations in a single estimate of the location and origin time. Using realistic estimates of uncertainty, we subsequently explore how combining the different observation types can benefit event location at local to near–regional distances. We apply the method to synthetic data and to real observations from a mining blast in Bingham Mine in Utah. Our findings suggest that, for relatively sparse or azimuthally limited observations, the relative strengths of the two different phenomenologies enable more precise joint–event localization than either seismic or infrasonic measurements alone.},
doi = {10.1785/0220190017},
journal = {Seismological Research Letters},
number = ,
volume = ,
place = {United States},
year = {Wed May 15 00:00:00 EDT 2019},
month = {Wed May 15 00:00:00 EDT 2019}
}
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