Acoustic observations of a prescribed burn
Year: 2025
Type: article
Abstract: • Audible sound is accompanied by infrasound emissions, originating from the active combustion zone in a prescribed fire. • Infrasound sensors outside the perimeter of a prescribed burn captured signals with variable amplitude and frequencies between 2 Hz and up to 90 Hz. • An infrasound sensor array captured the azimuthal evolution of signals associated with the movement of fire during a prescribed burn. Audible sound is known to originate from wildland fires. We show audible sound is accompanied by infrasound emissions, originating from the active combustion zone in a prescribed fire. We collected data from one of multiple prescribed burns conducted at Eglin Airforce Base, Florida in March of 2023. Single-unit infrasonic sensors and a six-element array were deployed outside the burn unit to capture acoustic signals. The array was configured as a hexagon with aperture of ∼10 m. Dual-band radiometers were deployed inside the unit to track the fire’s evolution. A broadband signal is observed by all infrasound sensors with variable intensity and frequency content between 2 Hz and up to 90 Hz. The sensor closest to the perimeter of the unit detected frequencies up to 90 Hz for a few minutes. Array analysis shows a coherent broadband signal with frequencies between 2 and 40 Hz emanating from the burn unit that we argue is sound from the active combustion zone. The estimated azimuths follow the ignition pattern with delays of several minutes between the ignition and detection of sound. We discuss the potential for using acoustic measurements to study the spatial and temporal evolution of fire and extract spectral features of vegetation type-specific heat release rates. Extracting fire characteristics and dynamics using sound may complement other more established measurements by providing continuous data remotely that are not constrained to line-of-sight or visibility conditions that can be affected by smoke or topography.
Source: Applied Acoustics
Authors: Omar Marcillo, Jonathan M. Lees, Kara Yedinak, Keith Bourne, Brian Potter, Steven Flanagan, Joseph O’Brien, Joseph Paki
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,820
Awards: G463912623, G8498504119
OpenAlex ID: W4408308563
