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Annual traffic noise levels estimation based on temporal stratification.

G Quintero1, A Balastegui1, J Romeu1

  • 1Laboratory of Acoustics and Mechanical Engineering (LEAM), Polytechnic University of Catalonia, Colom 11, 08222, Terrassa, Spain.

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|October 23, 2017
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Summary
This summary is machine-generated.

This study introduces a new temporal sampling strategy for accurate long-term noise level estimation. It reduces required measurement days by over 38% for Lday and 18% for LDEN, improving environmental noise assessment accuracy.

Keywords:
Noise assessmentNoise mappingSampling strategyTemporal variability

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Area of Science:

  • Environmental Science
  • Acoustics
  • Statistical Analysis

Background:

  • Accurate long-term noise level estimation is crucial for environmental impact assessments.
  • Traditional random sampling methods can be inefficient and lead to uncertainty.
  • Stratifying days into working and weekend categories offers potential for improved noise analysis.

Purpose of the Study:

  • To propose a novel temporal sampling strategy for enhanced long-term noise level estimation.
  • To establish a method for determining estimation error based on the number of sampled days.
  • To demonstrate the efficiency of using working day noise data to estimate weekend day noise levels.

Main Methods:

  • Stratification of weekdays into working days and weekend days.
  • Development of a temporal sampling strategy leveraging noise level differences between day types.
  • Calculation of estimation error relative to the number of sampled days.

Main Results:

  • The proposed strategy significantly increases the accuracy of long-term noise level estimation.
  • Working day noise measurements can effectively predict weekend day noise levels due to lower variability and higher levels on working days.
  • A reduction of over 38% in required measurement days for a ±1 dB confidence interval for Lday was achieved.
  • A reduction of approximately 18% in total days was observed for LDEN.

Conclusions:

  • The developed temporal sampling strategy offers a more accurate and efficient approach to environmental noise assessment.
  • The method reduces the number of required sampling days, thereby lowering costs and uncertainty.
  • The strategy is adaptable to various environments by adjusting specific parameters.