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Seismically Detecting Nuclear Reactor Operations Using a Power Spectral Density (PSD) Misfit Detector
Bulletin of the Seismological Society of America ( IF 3 ) Pub Date : 2021-06-01 , DOI: 10.1785/0120200267
David L. Guenaga 1 , Chengping Chai 2 , Monica Maceira 2 , Omar E. Marcillo 2 , Aaron A. Velasco 1
Affiliation  

To explore the ability to indirectly detect and attribute various operations conducted at a nuclear reactor using waveform data, we investigated the seismic signals recorded near the High Flux Isotope Reactor (HFIR) located at Oak Ridge National Laboratory in Oak Ridge, Tennessee. Specifically, we processed seismic data collected from a single seismoacoustic station, WACO, near the HFIR facility, and employed a power spectral density misfit detector to identify signals of interest and associate the detections with operational events. Initial results suggest that this method provides a promising means of regularly detecting at least 19 unique operations. With additional station deployment and more comprehensive data logs, we anticipate that future analysis will offer an additional means to seismically monitor nuclear reactors (such as HFIR) health and performance more accurately.

中文翻译:

使用功率谱密度 (PSD) 失配检测器对核反应堆运行进行地震检测

为了探索使用波形数据间接检测和归因在核反应堆中进行的各种操作的能力,我们调查了位于田纳西州橡树岭橡树岭国家实验室的高通量同位素反应堆 (HFIR) 附近记录的地震信号。具体来说,我们处理了从 HFIR 设施附近的单个地震声学站 WACO 收集的地震数据,并采用功率谱密度失配检测器来识别感兴趣的信号并将检测结果与操作事件相关联。初步结果表明,该方法提供了一种有前途的方法,可以定期检测至少 19 个独特的操作。通过额外的站点部署和更全面的数据日志,
更新日期:2021-05-30
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