Archives of Acoustics, 38, 3, pp. 397–405, 2013

Study of the Categorisation Method Using Long-term Measurements

Guillermo REY GOZALO
Laboratorio de Acustica, Departamento de Fısica Aplicada, E Politecnica, Universidad de Extremadura

Juan Miguel BARRIGÓN MORILLAS
Laboratorio de Acustica, Departamento de Fısica Aplicada, E Politecnica, Universidad de Extremadura

Valentin GÓMEZ ESCOBAR
Laboratorio de Acustica, Departamento de Fısica Aplicada, E Politecnica, Universidad de Extremadura

Rosendo VILCHEZ-GÓMEZ
Laboratorio de Acustica, Departamento de Fısica Aplicada, E Politecnica, Universidad de Extremadura

Juan Antonio MENDEZ SIERRA
Laboratorio de Acustica, Departamento de Fısica Aplicada, E Politecnica, Universidad de Extremadura

Francisco Javier CARMONA DEL RIO
Laboratorio de Acustica, Departamento de Fısica Aplicada, E Politecnica, Universidad de Extremadura

Carlos PRIETO GAJARDO
Laboratorio de Acustica, Departamento de Fısica Aplicada, E Politecnica, Universidad de Extremadura

Previous studies concerning the categorisation method have been based on short daytime measure- ments. These studies demonstrated urban-noise stratification in the daytime. Nevertheless, legislation and standards refer to noise estimation throughout the day. This paper presents the first attempt to apply the categorisation method to indicators obtained through long-term measurements. The study was conducted in Plasencia, Extremadura (Spain) which has approximately 41,500 inhabitants. First, we conducted a stratification of the roads using the categorisation method. Second, long-term measurements (approxi- mately one week) were conducted at different sampling locations across different categories of streets. The results were analysed by category. Moreover, the profile of the noise-level variation was analysed during the day. The results revealed a stratification of sound levels measured across the different categories. Furthermore, we found health risks due to the noise levels in this town. Short-term measurements were also conducted to complete the categorisation method suitability analysis.
Keywords: noise pollution; sampling methods; street categorisation
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