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Ostashev, Vladimir E.; Wilson, D. Keith; Muhlestein, Michael B. and Attenborough, Keith
(2018).
DOI: https://doi.org/10.1121/1.5024904
Abstract
Although sound propagation in a forest is important in several applications, there are currently no rigorous yet computationally tractable prediction methods. Due to the complexity of sound scattering in a forest, it is natural to formulate the problem stochastically. In this paper, it is demonstrated that the equations for the statistical moments of the sound field propagating in a forest have the same form as those for sound propagation in a turbulent atmosphere if the scattering properties of the two media are expressed in terms of the differential scattering and total cross sections. Using the existing theories for sound propagation in a turbulent atmosphere, this analogy enables the derivation of several results for predicting forest acoustics. In particular, the second-moment parabolic equation is formulated for the spatial correlation function of the sound field propagating above an impedance ground in a forest with micrometeorology. Effective numerical techniques for solving this equation have been developed in atmospheric acoustics. In another example, formulas are obtained that describe the effect of a forest on the interference between the direct and ground-reflected waves. The formulated correspondence between wave propagation in discrete and continuous random media can also be used in other fields of physics.
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- Item ORO ID
- 53721
- Item Type
- Journal Item
- ISSN
- 0001-4966
- Project Funding Details
-
Funded Project Name Project ID Funding Body Geospatial Research and Engineering Not Set U.S. Army Engineer Research and Development Center - Extra Information
- Copyright 2018 Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Keywords
- Acoustics and Ultrasonics, Arts and Humanities (miscellaneous)
- Academic Unit or School
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Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
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