Determination of Statistical Analysis of Acoustic Noise in Urbanized Areas

Abstract

An algorithm for the statistic analysis of acoustic noise in urban areas is considered in the article. The results of Murom street noise spectral-temporal analysis are presented. It is shown that the noise level is non-deterministic and can vary over a wide range. The aim of the work is to develop a statistic analysis algorithm that provides the presentation of the measurement data processing results related to the acoustic noise characteristics in industrial areas, expressed as a percentage, reflecting the time intervals during which the sound level was exceeded at a certain frequency. The analysis of a well-known method used to determine the noise map accuracy and reliability based on a combination of dispersion and mathematical statistics is carried out. It is concluded that the disadvantage of the method in relation to medium and large cities is that a large number of measurements are required to achieve high levels of reliability and accuracy of the analysis. It is proposed to use a statistical distribution temporal analysis, which involves recording the relative proportion of time during which the measured noise level was within each of the given scale steps. The grading levels of optimal indicators of noise propagation prediction are determined and justified. An algorithm for calculating the acoustic signal propagation range in a specific area has been developed. The methodology application will make it possible to build an urban map of agglomerations not only in terms of taking into account the noisiest areas, but in terms of predicting noise propagation deep into residential areas as well.