A Better Noise Compliance Method and Validation of Mine Noise Dosimetry Data

Abstract

Given the costs of Noise-Induced Hearing Loss in mining, and MSHA's proactive attention given to all mines, an average exposure determination may be more appropriate for compliance decisions than the current shift-by-shift basis. If dose averages are used, database errors must be minimized. Errors in dosimetry data can be detected by a variety of means, including: 1. from an understanding of the mathematics relating action level doses to permissible exposure level doses, and 2. corroboration with previous or concurrent survey information. A comparison of the two schemes is presented, and several simple methods for validating dosimetry data are explained.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA434225

Entities

People

  • Jeremy M. Slagley
  • Steven E. Guffey

Organizations

  • West Virginia University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Data Science
  • Data Sets
  • Databases
  • Dose Rate
  • Dosimeters
  • Dosimetry
  • Engineering
  • Hearing Loss
  • Information Science
  • Measurement
  • Occupational Safety And Health
  • Sampling
  • Sound Pressure
  • Statistical Analysis
  • Surveys
  • Systems Engineering

Fields of Study

  • Physics

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Nuclear and Radiation Engineering.
  • Systems Analysis and Design