Saúde e Ambiente – estudo de caso dos impactes da exposição ao ruído de baixa frequência no bem-estar da população de Serzedelo (Guimarães)

A exposição ao ruído tem efeitos nocivos e constitui um fator de risco para a saúde humana. O principal objetivo da presente pesquisa é analisar a exposição ao ruído de baixa frequência proveniente dos postes elétricos de alta tensão em áreas residenciais, especialmente em Sezerdelo (município de Guimarães) e os impactes na saúde da população que aí reside. A metodologia utilizada para as análises do ruído ambiental foi fundamentada no documento elaborado pelo Acoustics Research Centre (DEFRA), da Universidade de Salford, intitulado Procedure for the assessment of low frequency noise complaints (2011). Os níveis de ruído de Serzedelo ultrapassam os valores de referência do critério da curva nas faixas de 50Hz e 63Hz de 1/3 de oitava em todos os pontos de medição, concretizados em 2014. Neste caso, o nível de ruído proveniente dos postes de alta tensão pode ser incomodativo e suceptível de impacter na saúde da população que reside em Serzdelo.

Modelling tyre-road noise with data mining techniques

The research aimed to establish tyre-road noise models by using a Data Mining approach that allowed to build a predictive model and assess the importance of the tested input variables. The data modelling took into account three learning algorithms and three metrics to define the best predictive model. The variables tested included basic properties of pavement surfaces, macrotexture, megatexture, and uneven- ness and, for the first time, damping. Also, the importance of those variables was measured by using a sensitivity analysis procedure. Two types of models were set: one with basic variables and another with complex variables, such as megatexture and damping, all as a function of vehicles speed. More detailed models were additionally set by the speed level. As a result, several models with very good tyre-road noise predictive capacity were achieved. The most relevant variables were Speed, Temperature, Aggregate size, Mean Profile Depth, and Damping, which had the highest importance, even though influenced by speed. Megatexture and IRI had the lowest importance. The applicability of the models developed in this work is relevant for trucks tyre-noise prediction, represented by the AVON V4 test tyre, at the early stage of road pavements use. Therefore, the obtained models are highly useful for the design of pavements and for noise prediction by road authorities and contractors.

The impact of urban noise on primary schools: perceptive evaluation and objective assessment

This paper aims to assess the impact of environmental noise in the vicinity of primary schools and to analyze its influence in the workplace and in student performance through perceptions and objective evaluation. The subjective evaluation consisted of the application of questionnaires to students and teachers, and the objective assessment consisted of measuring in situ noise levels. The survey covered nine classes located in three primary schools. Statistical Package for Social Sciences was used for data processing and to draw conclusions. Additionally, the relationship of the difference between environmental and background noise levels of each classroom and students with difficulties in hearing the teacherâ s voice was examined. Noise levels in front of the school, the schoolyard, and the most noise-exposed classrooms (occupied and unoccupied) were measured. Indoor noise levels were much higher than World Health Organization (WHO) recommended values: LAeq,30min averaged 70.5 dB(A) in occupied classrooms, and 38.6 dB(A) in unoccupied ones. Measurements of indoor and outdoor noise suggest that noise from the outside (road, schoolyard) affects the background noise level in classrooms but in varying degrees. It was concluded that the façades most exposed to road traffic noise are subjected to values higher than 55.0 dB(A), and noise levels inside the classrooms are mainly due to the schoolyard, students, and the road traffic. The difference between background (LA95,30min) and the equivalent noise levels (LAeq,30min) in occupied classrooms was 19.2 dB(A), which shows that studentsâ activities are a significant source of classroom noise.

Analise técnico-funcional da parede WoodenQuark

Dissertação de mestrado integrado em Engenharia Civil