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A simplified semi-empirical model for long-range low-frequency noise propagation in the turbulent atmosphere



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  • Journal Title:
    Applied Acoustics
  • Personal Author:
  • NOAA Program & Office:
    OAR (Oceanic and Atmospheric Research)
  • Description:
    We present a semi-empirical long-range low-frequency acoustic propagation model, which accounts for atmospheric turbulence. Ostashev and Wilson’s scattering model is combined with a ray-theory based refraction model to account for turbulent scattering and refraction via a turbulent absorption coefficient. The coefficient is ascertained via integration of scattered energy. The model is formulated, calibrated, and validated via corresponding experiments conducted within the National Science Foundation Boundary Layer Wind Tunnel. The predictions of the newly proposed ‘bridging model’ match the wind tunnel experimental data with an average error of 11.9%. Example predictions are shown to quantify the effect of turbulent kinetic energy and turbulent integral length scale on long-range infrasound propagation. To demonstrate the approach, we present predictions of the propagation of noise from a tornado and a nonlinear wave.
  • Source:
    Applied Acoustics, 205, 109256
  • DOI:
  • ISSN:
    0003-682X
  • Format:
    pdf
  • Publisher:
    Elsevier BV
  • Document Type:
    Journal Article-Accepted Manuscript
  • Funding:
    Grant no. NA18OAR4590306
  • License:
  • Rights Information:
    CC BY-NC-ND
  • Rights Statement:
    The NOAA IR provides access to this content under the authority of the government's retained license to distribute publications and data resulting from federal funding. While users may legally access this content, the copyright owners retain rights that govern the reproduction, redistribution, and re-use of this work. The user is solely responsible for complying with applicable copyright law.
  • Compliance:
    Library
  • Main Document Checksum:
    urn:sha-512:497271683916ec312ce7222f35925bd17b901eb1e31486e4e3b04aeb7a66951254b823326978b44863fa5772ad4226e210190a7ad2e086a5b03111ff7614ba18
  • Download URL:
  • File Type:
    Filetype[PDF - 2.58 MB ]
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