Experimental Characterization of Near-Shore Atmospheric Acoustics
Abstract
This funding will extend the PI s work on the study of sound propagation in air as it relates to the near-shore detection of Naval p,latforms. The ultimate aim of the research is development and validation of a mathematical model of acoustic detectability given cur,rent atmospheric parameters, shore surface characteristics, and water surface conditions. There is a critical need for data sets wit,h high spatial and temporal resolution that include measurements of both acoustic transmission loss and concurrent meteorological co,nditions in the lower atmospheric boundary layer. These data sets will allow comparison of various existing acoustic propagation mod,eling approaches being considered for adoption as well as further numerical model development. Specifically, the PI has been involve,d in both modeling and measurement of acoustic propagation over distances ranging from hundreds of meters to several kilometers over, ranges that include both water and shore components. The proposed work represents a substantial improvement over previously reporte,d results in both the resolution and quality of the atmospheric measurements made concurrently with atmospheric transmission loss. A, newly acquired 3D scanning Doppler LIDAR allows for continuous high spatial and temporal resolution characterization of wind over t,he acoustic propagation range. In addition, this work includes an exploratory component that will investigate the use of terrestrial, or aerial scanning LIDAR to better understand the interaction of sound with bulk vegetation like mangroves, dune or marsh grasses,,or other large volumes of heterogenous near-shore vegetation. In summary, this work will provide (1) high spatial and temporal resol,ution data sets in coastal or riverine environments with concurrent atmospheric and acoustic measurements and (2) an improved techni,que to describe and predict the behavior of atmospheric sound propagating over and through bulk vegetation.This is approved for publ,ic release with no distribution restriction.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 05, 2022
- Source ID
- N000142212492
Entities
People
- Teresa Ryan
Organizations
- East Carolina University
- Office of Naval Research
- United States Navy