Year: 1975
Type: conference-abstract
Abstract: Predicting community noise levels requires the addition of background ambient sound levels and the source's contribution to ambient sound levels. Baseline data are obtained, from community sound surveys, in the form of histograms and cumulative distributions. Source (for example, a construction site) sound level data are also obtained as histograms and cumulative distributions. The problem of combining the two distributions is made somewhat difficult by the logarithmic nature of the physical variable. The prediction is accomplished by the mathematical convolution of the variables representing baseline and the source. Since the data are provided as histograms rather than continuous probability density functions, it is convenient to decompose the density functions into a sequence of dirac delta functions. The result, h(z) = Σαβδ{z − 10log[antilog(i/10) + antilog(j/10)]}, can be programmed for a rapid and efficient computation. Results are provided for the combination of various construction site sound level distributions (e.g., single valued, normal, biomodal) with community background ambient sound. Data are shown of the effect on community noise of a source contribution which is attenuated by distance.
DOI: 10.1121/1.2002269
Authors: F. M. Kessler, P. Gottlieb
Language: English
Topic: Noise Effects and Management
Subfield: Speech and Hearing
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W2010770075