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Sistema de apoio à avaliação de impactos da poluição sonora sobre a saúde pública

Overview of attention for article published in Cadernos de Saúde Pública, January 2016
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Title
Sistema de apoio à avaliação de impactos da poluição sonora sobre a saúde pública
Published in
Cadernos de Saúde Pública, January 2016
DOI 10.1590/0102-311x00021215
Pubmed ID
Authors

Adriano Bressane, Patricia Satie Mochizuki, Rosana Maria Caram, José Arnaldo Frutuoso Roveda

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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 15%
Professor 4 7%
Researcher 3 5%
Student > Master 3 5%
Student > Doctoral Student 2 4%
Other 2 4%
Unknown 33 60%
Readers by discipline Count As %
Engineering 8 15%
Nursing and Health Professions 3 5%
Environmental Science 3 5%
Social Sciences 3 5%
Medicine and Dentistry 2 4%
Other 3 5%
Unknown 33 60%