Strategies for and Validity of Noise Monitoring in the Vicinity of Civilian Airfields and Army Installations.

Abstract

It is common practice to use computer-generated noise contours or noise zone maps to assess noise impact and perform noise related land-use planning. However, developers and other interested parties often question the accuracy of computer simulations and suggest direct measurement to verify the computer predictions. This report quantifies the temporal sampling requirements for and the accuracy and ability of directly measured sampled data to estimate the true yearly day/night average sound level (DNL). The results for civilian airports show that a precision (95 percent confidence) of + or - 2 to + or - 3 decibels (dB) is generally achieved with 4 to 8 weeks of monitoring; 1 week from each eighth or 1 week from each quarter of the year, respectively. It does not appear possible to directly monitor blast noise with current instrumentation and techniques, even if the monitoring is done continuously for an entire year. Separating blast noise from other noise and incorporating a single-event threshold appear to be two of the main technological problems. Improved wind screens and multiple microphone arrays may alleviate these problems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA137780

Entities

People

  • P. D. Schomer
  • R. D. Neathammer
  • R. E. Devor

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aircraft Noise
  • Aircrafts
  • Computer Programs
  • Computer Simulations
  • Data Science
  • Databases
  • Engineering
  • Environment
  • Human Factors Engineering
  • Impulse Noise
  • Information Science
  • Measurement
  • Monte Carlo Method
  • Naval Air Stations
  • Precision
  • Surveys

Fields of Study

  • Physics

Readers

  • Acoustics.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Energy Conservation and Renewable Energy Engineering.