Evaluating factors influencing infrasonic signal detection and automatic processing performance utilizing a regional...

Area of Science:

• Geophysics
• Acoustics
• Seismology

Background:

• Infrasound signal detection is crucial for monitoring various phenomena.
• Published infrasound event bulletins often lack comprehensive ground truth (GT) data.
• Understanding factors affecting detection is key for network optimization.

Purpose of the Study:

• To explore physical and deployment factors influencing infrasound detection.
• To assess the automatic detection performance of a regional infrasound network.
• To identify mechanisms contributing to missed infrasound detections.

Main Methods:

• Utilized signatures of ground truth (GT) explosions as known sources.
• Employed the adaptive F-detector for automatic event identification.
• Analyzed background noise, atmospheric propagation, and spectral amplitudes.

Main Results:

• Automatic detection identified 14%-80% of GT events, varying by array.
• Analyst review increased successful detection rates to 24%-90%.
• Identified specific mechanisms contributing to missed detections across the network.

Conclusions:

• Detection performance varies significantly across the regional network.
• Understanding detection limitations informs future infrasound array deployment decisions.
• This analysis provides a basis for improving network-level infrasound monitoring capabilities.