AI Article Synopsis
- The study developed a support system for evaluating noise pollution in the urban area of Rio Claro, Brazil, using noise measurements and public interviews.
- The system generated indicators like equivalent sound level and traffic noise index to assess noise impact on health, finding that 31.4% of points had significant noise impact and 62.9% had very significant impact.
- The fuzzy inference system used can be tailored to different locations, making it useful for managing noise pollution in various areas.
Article Abstract
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.
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| http://dx.doi.org/10.1590/0102-311X00021215 | DOI Listing |
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