Bressane Adriano, Mochizuki Patricia Satie, Caram Rosana Maria, Roveda José Arnaldo Frutuoso
Universidade Estadual Paulista, Sorocaba, Brazil.
Secretaria do Meio Ambiente do Estado de São Paulo, São Paulo, Brasil.
Cad Saude Publica. 2016 May;32(5):e00021215. doi: 10.1590/0102-311X00021215. Epub 2016 May 13.
The aim of this study was to develop a support system for the evaluation of noise pollution, applied to the central urban area of Rio Claro, São Paulo State, Brazil. Data were obtained from noise measurements and interviews with the population, generating the following indicators: equivalent sound level (Leq ), traffic noise index (LTNI ), and a participatory diagnosis (Dp ), integrated through a fuzzy inference system (FIS). The proposed system allowed classifying the measurement points according to the degree of impact of noise pollution on the population's health (IPS ) in the study area. Impact was considered significant in 31.4% of the measurement points and very significant in 62.9%. The FIS can be adjusted to local conditions, allowing generalization and thus also supporting noise pollution evaluation and respective environmental noise management in other geographic areas.
本研究的目的是开发一个用于评估噪声污染的支持系统，该系统应用于巴西圣保罗州里奥克拉罗市中心城区。数据通过噪声测量和对居民的访谈获得，生成了以下指标：等效声级（Leq）、交通噪声指数（LTNI）以及通过模糊推理系统（FIS）整合的参与式诊断（Dp）。所提出的系统能够根据研究区域内噪声污染对居民健康的影响程度（IPS）对测量点进行分类。在31.4%的测量点中，影响被认为是显著的，在62.9%的测量点中，影响被认为是非常显著的。模糊推理系统可以根据当地情况进行调整，实现推广，从而也能支持其他地理区域的噪声污染评估及相应的环境噪声管理。
