Evaluating Synthetic Acoustic Waveforms From Fire Sources Using 3D Finite Difference Method
Description:
Wildfire poses an increasing risk to forested and urban areas. Combustion related to fire has been shown to generate low frequency acoustic waves and infrasound (sound below 20 Hz). infraFDTD is a 3-D numerical solver for the acoustic wave equation using Finite-Difference Time-Domain (FDTD) method and second-order approximations, and has previously been used to model the acoustic source of volcanoes with an assumed gaussian source time function (Kim and Lees, GRL 2011). Adapting infraFDTD demonstrates that synthetic acoustic wavefields from experimentally derived fire source time functions produce signals with frequencies constrained from 0-25 Hz, and dominant frequencies in the 0.1-1 Hz range. This is consistent with acoustic observations from a prescribed burn at Eglin Air Force Base in March 2023. Comparative analysis with literature also confirms that fires with extensive flame fronts produce stronger infrasound signals at 0.1 Hz. By utilizing models to give constraints on source properties, fires can be better identified from acoustic observations in the field. Additionally, inverse modeling using the Reverse Time Migration (RTM) (Kim and Lees, GJI 2015) technique demonstrates the potential for imaging the acoustic source of fires from observation stations below 15 Hz.
Session: Data-driven and Computational Characterization of Non-earthquake Seismoacoustic Sources [Poster]
Type: Poster
Date: 4/16/2025
Presentation Time: 08:00 AM (local time)
Presenting Author: Isaac
Student Presenter: Yes
Invited Presentation:
Poster Number: 67
Authors
Isaac Bauer Presenting Author Corresponding Author isaacbauer2@gmail.com University of North Carolina at Chapel Hill |
Jonathan Lees jonathan.lees@unc.edu University of North Carolina at Chapel Hill |
Omar Marcillo marcillooe@ornl.gov Oak Ridge National Laboratory |
Kara Yedinak kara.yedinak@usda.gov United States Forest Service |
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Evaluating Synthetic Acoustic Waveforms From Fire Sources Using 3D Finite Difference Method
Category
Data-driven and Computational Characterization of Non-earthquake Seismoacoustic Sources