• Title of article

    Determination of the Equivalent Continuous Sound Level (Leq) in Industrial Indoor Space Using GIS-based Noise Mapping

  • Author/Authors

    Majidi, Faramarz Zanjan University of Medical Sciences - School of Public Health - Department of Occupational Health and Safety Engineering , Khosravi, Younes University of Zanjan - School of Science - Department of Environmental Science , Abedi, Kamalad-Din Kurdistan University of medical sciences - Environmental health research center

  • Pages
    6
  • From page
    50
  • To page
    55
  • Abstract
    Background: The present study aimed to replace the integrated sound level meter by the noise map of a work environment in order to estimate the equivalent continuous sound level (Leq) as an important quantity in the noise monitoring of continuous noise sources. Methods: In this theoretical-experimental study, the grid method was initially used. Sound pressure level (SPL) was measured at the selected stations in three noisy industrial halls. Data analysis was performed in ArcGIS 10.2 software, and the noise map was plotted for each hall separately. Afterwards, the different zones with various SPL intervals were calculated on each noise map, and Leq was determined. For the comparisons, Leq was also calculated using logarithmic equations, based on which the integrated sound level meters were programmed. Results: The proposed method was highly accurate with the relative error of less than 2%. Furthermore, it decreased the number of mathematical operations 7-15 times compared to the conventional logarithmic method. Conclusion: According to the results, the available GIS-based software could be accurately replaced by the routine Leq measurement hardware to estimate the Leq spatial noise in noisy industrial environments.
  • Keywords
    Equivalent sound level (Leq) , Noise mapping , Geographic information system (GIS) , Noise monitoring , Industrial indoor space
  • Journal title
    Journal of Human, Environment and Health Promotion
  • Serial Year
    2019
  • Record number

    2503532