Validation of Short-Term Noise Assessment Procedures: FY16 Summary of Procedures, Progress, and Preliminary Results

Abstract

Army regulations require that installations assess the impacts of training range noise on wildlife and the human community. This work provides a summary of the work performed in fiscal year 2016 for the Environment, Safety and Occupational Health Short-Term Noise Assessment Procedure Demonstration/Validation project. This report describes the procedure used to generate the noise models output dataset, and then it compares that dataset to the benchmark, the Engineer Research and Development Centers Long-Range Sound Propagation dataset. It was found that the models consistently underpredict the measured values. Multiple topics were explored towards identifying possible sources of error. The peak-level calculation algorithm is found to perform adequately, but an alternative method is recommended for future use. Significant meteorological variability is found across the landscape, leading to challenges in estimating the correct propagation class for a particular scenario. A deeper investigation of the propagation class selection algorithm is continuing in FY17. Updates to the noise assessment tools are identified. Throughout this document, procedures used for calculations and analysis are included.

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Document Details

Document Type
Technical Report
Publication Date
Jun 22, 2017
Accession Number
AD1040368

Entities

People

  • Andrew R. Lammers
  • Brian R. Greene
  • Gregory W. Lyons
  • Jesse M. Barr
  • Kate A. Morozova
  • Lacey S. Duckworth
  • Michael J. White
  • Michelle E. Swearingen

Tags

Communities of Interest

  • Biomedical
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Algorithms
  • Band Spectra
  • Cloud Cover
  • Databases
  • Department Of Defense
  • Engineering
  • Engineers
  • Environment
  • Measurement
  • Plastic Explosives
  • Solar Radiation
  • Sound Pressure
  • Statistical Analysis
  • Waveforms
  • Weather Stations
  • Wildlife

Readers

  • Acoustics.
  • Computational Modeling and Simulation
  • Environmental Remediation and Restoration.