Effective Low-Frequency Geoacoustic Properties Inferred from Measurements in the Northeast Atlantic

Abstract

The purpose of the study documented in this report was to develop geoacoustic models capable of predicting the essential bottom-reflectivity behavior relevant to long-range, low-frequency surveillance systems from acoustic survey measurements and available marine geological data. The approach taken was to: (a) conduct an acoustic experiment obtaining bottom-reflectivity data over a variety of seafloor provinces; (b) analyze the acoustic data using deconvolution-processing and parameter-extraction techniques; (c) develop geoacoustical models of represent the acoustical models to represent the acoustical behavior of the sea floor in terms of geological structure and composition; (d) assemble all geological data relevant to the acoustical- measurement sites for comparison of acoustically inferred and geologically inferred bottom structure; and (e) evaluate state-of-the-art techniques for predicting acoustical behavior from available geological data. The geological provinces studied included three abyssal-plain stations differing in sedimentary characteristics, a moderately rough sedimented plateau, an elongated seamount, and a lower continental rise site.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA128198

Entities

People

  • Rockne S. Anderson
  • Ronald L. Dicus

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Impedance
  • Acoustic Properties
  • Acoustic Waves
  • Acoustics
  • Attenuation
  • Crystal Structure
  • Data Analysis
  • Databases
  • Frequency Bands
  • Geography
  • Geometry
  • Low Angles
  • Refraction
  • Ridges
  • Sea Water
  • Seabed
  • Topography

Readers

  • Acoustical Oceanography.
  • Oceanography.
  • Theoretical Analysis.

Technology Areas

  • AI & ML