Abstract
Geolocation of emergent seismic signals is challenging at close distances. We used three-component data from a seismic network and a targeted experiment at a research nuclear reactor to locate seismic sources. Utilizing known events collected during the targeted experiment, we were able to infer source locations with seismic amplitudes and polarization characteristics of the data. Although the resolution of the source location is not perfect, the seismic amplitudes and polarization analysis offer useful constraints. For the known events, the source region inferred with our analysis includes the true source locations. Synthetic tests indicate the resolution is largely due to limited data coverage and measurement uncertainties because the synthetic tests show similar results compared with the field data. We identified the source of the unknown event through spectrum cross correlation between the signals from the known events and an unknown event. Our findings were confirmed by operational staff at the facility. When the propagation medium properties (i.e., seismic velocity and quality factor for attenuation) are known, our analysis can be applied to continuous data from a seismic array to infer both source amplitude and location. If the medium properties are not known, a targeted experiment can be conducted to estimate them.
| Original language | English |
|---|---|
| Pages (from-to) | 1344-1355 |
| Number of pages | 12 |
| Journal | Bulletin of the Seismological Society of America |
| Volume | 113 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 2023 |
Funding
The work described in this article was funded by the U.S. National Nuclear Security Administration, Defense Nuclear Nonproliferation Research and Development, and Office of Proliferation Detection. This article has been authored in part by UT-Battelle, LLC, under Contract Number DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). This research used resources at the High Flux Isotope Reactor, a DOE Office of Science User Facility operated by Oak Ridge National Laboratory (ORNL). This research used resources of the Compute and Data Environment for Science (CADES) at ORNL, which is supported by the DOE Office of Science under Contract Number DE-AC05-00OR22725. The authors acknowledge useful suggestions by Jason Hite. The U.S. government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this article or allow others to do so for U.S. government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan available at http://energy.gov/downloads/doe-public-access-plan (last accessed July 2022). The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the U.S. Government. The authors thank Editor Martin Mai, Associate Editor Junghyun Park, and two anonymous reviewers for their constructive comments to greatly improve the article. The work described in this article was funded by the U.S. National Nuclear Security Administration, Defense Nuclear Nonproliferation Research and Development, and Office of Proliferation Detection. This article has been authored in part by UT-Battelle, LLC, under Contract Number DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). This research used resources at the High Flux Isotope Reactor, a DOE Office of Science User Facility operated by Oak Ridge National Laboratory (ORNL). This research used resources of the Compute and Data Environment for Science (CADES) at ORNL, which is supported by the DOE Office of Science under Contract Number DE-AC05-00OR22725. The authors acknowledge useful suggestions by Jason Hite. The U.S. government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this article or allow others to do so for U.S. government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan available at http://energy.gov/downloads/doe-public-access-plan (last accessed July 2022). The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily rep-resenting the official policies, either expressed or implied, of the U.S. Government. The authors thank Editor Martin Mai, Associate Editor Junghyun Park, and two anonymous reviewers for their constructive comments to greatly improve the article.
| Funders | Funder number |
|---|---|
| CADES | |
| Data Environment for Science | |
| Defense Nuclear Nonproliferation Research and Development | |
| Office of Proliferation Detection | DE-AC05-00OR22725 |
| U.S. Government | |
| U.S. Department of Energy | |
| Office of Science | |
| National Nuclear Security Administration | |
| Oak Ridge National Laboratory |