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Title: 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:
 [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Univ. of Arizona, Tucson, AZ (United States)
  2. 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. doi:10.1785/0220190017.
Koch, Clinton D., and Arrowsmith, Stephen John. Wed . "Locating Surface Explosions by Combining Seismic and Infrasound Data". United States. doi:10.1785/0220190017.
@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 = {2019},
month = {5}
}

Journal Article:
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This content will become publicly available on May 15, 2020
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