Processo de intervenção no espaço urbano de Braga: Espaço coletivo como novo estrato de relações

Dissertação de mestrado - Área de especialização Arquitetura Cidade e Território

O contrato para a assunção de encargos relativos a obras de urbanização (gerais e especiais): um contrato entre dois territórios jurídicos?

Dissertação de mestrado em Direito Administrativo

The influence of low-frequency noise pollution on the quality of life and place in sustainable cities: a case study from northern Portugal

Discussing urban planning requires rethinking sustainability in cities and building healthy environments. Historically, some aspects of advancing the urban way of life have not been considered important in city planning. This is particularly the case where technological advances have led to conflicting land use, as with the installation of power poles and building electrical substations near residential areas. This research aims to discuss and rethink sustainability in cities, focusing on the environmental impact of low-frequency noise and electromagnetic radiation on human health. It presents data from a case study in an urban space in northern Portugal, and focuses on four guiding questions: Can power poles and power lines cause noise? Do power poles and power lines cause discomfort? Do power poles and power lines cause discomfort due to noise? Can power poles and power lines affect human health? To answer these questions, we undertook research between 2014 and 2015 that was comprised of two approaches. The first approach consisted of evaluating the noise of nine points divided into two groups â near the sourceâ (e.g., up to 50 m from power poles) and â away from the sourceâ (e.g., more than 250 m away from the source). In the second approach, noise levels were measured for 72 h in houses located up to 20 m from the source. The groups consist of residents living within the distance range specified for each group. The measurement values were compared with the proposed criteria for assessing low-frequency noise using the DEFRA Guidance (University of Salford). In the first approach, the noise caused discomfort, regardless of the group. In the second approach, the noise had fluctuating characteristics, which led us to conclude that the noise caused discomfort.

Indicadores de "Hidricidade" como ferramenta de avaliação da eficiência urbana

One of the biggest challenges for urban space planners is to conciliate the indispensable demands of life with the forms of occupation of the territory. Among these demands is water. Population growth and urban sprawl are challenging water availability. Thus, it is important to evaluate development trends to predict future scenarios, enabling guide preventive actions and decision making. It is essential to have a practical and direct tool that allows us to transmit the necessary information. The objective of this study is to present a method for evaluating the urban efficiency in the process of city expansion and the availability of water supply. To do so, the indicators will be defined, called indicators of "hidricidade". As a result, it is expected to be obtained a direct and practical tool, that is going to allow to transmit the necessary information to the harmonic urban process planning, applicable to medium size Brazilian cities, allowing decision making as a guarantee of water supply and urban sprawl.

Spatial-temporal modellization of the NO2 concentration data through geostatistical tools

The nitrogen dioxide is a primary pollutant, regarded for the estimation of the air quality index, whose excessive presence may cause significant environmental and health problems. In the current work, we suggest characterizing the evolution of NO2 levels, by using geostatisti- cal approaches that deal with both the space and time coordinates. To develop our proposal, a first exploratory analysis was carried out on daily values of the target variable, daily measured in Portugal from 2004 to 2012, which led to identify three influential covariates (type of site, environment and month of measurement). In a second step, appropriate geostatistical tools were applied to model the trend and the space-time variability, thus enabling us to use the kriging techniques for prediction, without requiring data from a dense monitoring network. This method- ology has valuable applications, as it can provide accurate assessment of the nitrogen dioxide concentrations at sites where either data have been lost or there is no monitoring station nearby.