Determination of Statistical Analysis of Acoustic Noise in Urbanized Areas

The essay considers a method for statistical analysis of acoustic noise in metropolitan settings. The Murom street noise spectral-temporal analysis results are provided. The noise level is proven to be non-deterministic and to change across a large range. The goal of this work is to create a statistical analysis algorithm that provides a presentation of measurement data processing results related to acoustic noise characteristics in industrial areas, expressed as a percentage, reflecting the time intervals during which the sound level was exceeded at a specific frequency. A well-known method for determining noise map accuracy and dependability based on a mix of dispersion and mathematical statistics is examined. It is found that the method’s drawback in medium and big cities is that a significant number of measurements are necessary to reach high levels of analytical reliability and accuracy. A statistical distribution temporal analysis is presented, which entails recording the relative amount of time that the observed noise level was within each of the given scale steps. The grade levels of optimal noise propagation prediction indicators are derived and justified. It has been developed a method for determining the acoustic signal propagation range in a specified area. The methodological application will allow for the creation of an urban map of agglomerations that takes into account not only the noisiest places, but also predicts noise dispersion deep into residential neighbourhoods.

Author(S) Details

V. V. Bulkin
Murom Institute of Vladimir State University, Orlovskaya, Str., 23, Murom, 602264, Russia.

I. N. Kirillov
Murom Institute of Vladimir State University, Orlovskaya, Str., 23, Murom, 602264, Russia.

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