An Investigation of Community Attitudes Toward Blast Noise: Methodology

Abstract

The military has determined that current blast noise impact assessment procedures do not fully meet the military's noise management needs. Noise impacts are almost universally assessed in terms of the response metric "annoyance" as predicted by a long-term average noise level metric. This has proven to be unsatisfactory for extremely variable impulsive military noise. Individual event noise levels from military testing and training activities can be loud enough to elicit negative community response, and even loud enough to exceed the human hearing damage threshold. Yet when events are averaged over a year's time, the average level meets established acceptability criteria. The objective of this project is to provide a research methodology for improving the current human response to blast noise assessment procedures. More specifically, this report outlines an approach to enhance understanding of human response to blast noise, and to determine a methodology to accurately predict human response to impulsive military noise. This methodology will provide reliable and practicable guidance for noise impact management decisions.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2007
Accession Number
ADA474855

Entities

People

  • Anthony Atchley
  • Edward T. Nykaza
  • George Luz
  • Kathleen Hodgdon
  • Larry L. Pater
  • Pamela Rathbun
  • Robert Baumgartner

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acceptability
  • Acoustics
  • Air Force
  • Aircrafts
  • Computer Programs
  • Computers
  • Data Science
  • Information Science
  • International Organizations
  • Knowledge Management
  • Measurement
  • Military Training
  • Standardization
  • Standards
  • Surveys
  • Training
  • United States

Readers

  • Acoustics.
  • Auditory Neuroscience/Auditory Physiology.
  • Systems Analysis and Design