Abstract
The use of infrasound for the early detection of volcanic events has been shown to be effective over large distances, and unlike visual methods, is not weather dependent. Signals recorded via an infrasound array often have a poor signal to noise ratio, as other sources of infrasound are detected and recorded along with the volcano infrasound. Array processing software does not always detect known volcanic events, in part because of the amount of noise in the infrasound signal (Taisne et al., in: Pichon, Blanc, Hauchecorne (eds) Infrasound monitoring for atmospheric studies: challenges in middle atmosphere dynamics and societal benefits. Springer International Publishing, Cham, 2019). Resampling the infrasound into the audible range and then applying the acoustic noise reduction techniques of spectral subtraction prior to array processing is shown to improve signal detection of volcanic events. The discussed technique is applicable to any infrasound signal such as infrasound from anthropogenic sources like nuclear testing.
Highlights
Ash from volcanic plumes poses a serious threat to air traffic, and the early detection and identification of volcanic events are vital to provide early warning to allow rerouting of aircraft
This paper presents a new method for processing the infrasound signal using available acoustic noise reduction software, prior to array processing
The largest improvements came from the runs with the designed filters both for each site and for the whole station; there was a significant improvement using the adaptive filter which could be implemented into an automated processing schema
Summary
Ash from volcanic plumes poses a serious threat to air traffic, and the early detection and identification of volcanic events are vital to provide early warning to allow rerouting of aircraft. Remote detection via satellite and other visual methods remains susceptible to cloud cover and other weather events, as some areas of SE Asian can experience up to 80% cloud coverage 80% of the time (Taisne et al 2019). Regional monitoring of volcanoes from a regional to global distance has been put forth as cloud cover-independent remote sensing method for the identification of large volcanic plumes’ hazards for the aviation industry (Dabrowa et al 2011; Taisne et al 2019).
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