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Evaluation of Station Performance of the Idaho National Laboratory Seismic Monitoring Network Using Network Detection Thresholds

  • Blaine M. Bockholt

Research output: Contribution to journalArticlepeer-review

Abstract

The Idaho National Laboratory (INL) Seismic Monitoring Network is located in eastern Idaho and monitors a portion of the intermountain seismic belt. It has been in place for 50 yr and has undergone several major changes, the most recent of which has been the transition to the Antelope real-time acquisition system and the implementation of automatic phase picking algorithms to aid in analysis. This study discusses the efforts to evaluate the performance of the INL seismic monitoring network (and other surrounding stations) using the new real-time acquisition system. The method outlined by Wilson et al. (2021) is used to develop an empirical relationship between the observability of local earthquakes as a function of magnitude and distance. This relationship is used to produce detection thresholds for Pwaves for all stations of interest. The INL seismic network has two main goals: monitor tectonic-and volcanic-related events and measure ground motions for input into seismic hazard analysis. Because of these two overall objectives, several seismic stations have been installed near critical facilities and, therefore, are not as quiet as stations that are used primarily for earthquake detection. This is reflected intheirdetectionthresholds,whichare much smaller for stations away from facilities. This study shows that the INL Seismic Monitoring Network is able to detect earthquakes near INL facilities with ML > 1.2, with redundancies built in to ensure this sensitivity even if data became unavailable from some stations. This study also shows “holes” in the monitoring network where the detection of smaller earthquakes is highly dependent on sparsely placed seismic stations. The results of this study will be used to govern plans for expansion of earthquake monitoring in Idaho and the surrounding region and to fine-tune the detection thresholds for individual stations.

Original languageEnglish
Pages (from-to)2928-2940
Number of pages13
JournalSeismological Research Letters
Volume96
Issue number5
Early online dateApr 3 2025
DOIs
StatePublished - Sep 2025

INL Publication Number

  • INL/JOU-24-81035
  • 187450

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