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Tendências e padrões de longo prazo na qualidade do ar em Portugal
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| 13.65 MB | Adobe PDF |
Orientador(es)
Resumo(s)
A poluição do ar é uma questão premente que afeta não só o meio ambiente, mas também
a saúde humana. A exposição a poluentes atmosféricos, tanto a curto como a longo prazo,
tem sido associada a uma vasta gama de problemas de saúde e mortes prematuras.
Dada a importância da boa qualidade do ar, vários estudos e plataformas têm-se focado
na representação visual de dados, com o objetivo de transmitir informação da qualidade
do ar em tempo real. Apesar deste tema ser amplamente explorado, pouca atenção tem
sido dada à visualização de dados históricos. Por os dados históricos relativos à qualidade
do ar serem vastos, a sua análise, interpretação e comunicação exigem métodos eficazes.
Este trabalho centra-se no desenvolvimento de ferramentas visuais interativas que
facilitam a exploração de dados históricos da qualidade do ar em Portugal, permitindo
a resposta a questões analíticas relevantes. O estudo baseia-se em dados horários de
medições de concentrações de poluentes atmosféricos recolhidos ao longo de mais de
vinte anos e obtidos através da plataforma QualAr, dados meteorológicos disponibilizados
pelo Instituto Português do Mar e da Atmosfera e registos da ocorrência de poeiras. Do
processamento destes dados foi gerado um conjunto de dados adequado às análises.
Para permitir responder de forma eficaz às questões analíticas, foram desenvolvidos
quatro dashboards que possibilitam a exploração destes dados sob diferentes perspetivas,
utilizando diversas agregações e métricas relevantes. A versatilidade das ferramentas
desenvolvidas usando uma metodologia própria, permite eficazmente fazer análises variadas
e aprofundadas, tornando acessível a análise de grandes volumes de dados. Assim, os
dashboards não só facilitam a obtenção de conclusões, como também permitem comunicar
os resultados de forma clara, mesmo a públicos menos especializados.
Ao forneceruma análise abrangente da qualidade do arem Portugal ao longo do tempo,
este estudo tem o potencial de contribuir significativamente para a tomada de decisões
informadas e a implementação de políticas mais eficazes para combater a poluição do ar
e proteger a saúde pública e o meio ambiente.
Air pollution is a pressing issue that affects not only the environment but also human health. Exposure to air pollutants, both in the short and long term, has been linked to a wide range of health problems and premature deaths. Given the importance of good air quality, various studies and platforms have focused on the visual representation of data to convey real-time air quality information. Although this topic has been widely explored, little attention has been given to the visualization of historical data. Since historical air quality data is extensive, its analysis, interpretation, and communication require effective methods. This study focuses on the development of interactive visual tools that facilitate the exploration of historical air quality data in Portugal, enabling the investigation of relevant analytical questions. The research is based on hourly measurements of atmospheric pollutant concentrations collected over more than twenty years from the QualAr platform, meteorological data provided by the Portuguese Institute for Sea and Atmosphere, and records of dust occurrences. From the processing of these datasets, a structured dataset suitable for analysis was generated. To effectively address analytical questions, four dashboards were developed, allowing the exploration of this data according to different perspectives, using various aggregations and relevant metrics. The versatility of the tools, developed through a tailored methodology, enables diverse and in-depth analyses, making the examination of large volumes of data more accessible. As a result, the dashboards not only facilitate the extraction of insights but also allow for clear communication of results, even to less specialized audiences. By providing a comprehensive analysis of air quality in Portugal over time, this study has the potential to contribute significantly to informed decision-making and the implementation of more effective policies to combat air pollution and protect public health and the environment.
Air pollution is a pressing issue that affects not only the environment but also human health. Exposure to air pollutants, both in the short and long term, has been linked to a wide range of health problems and premature deaths. Given the importance of good air quality, various studies and platforms have focused on the visual representation of data to convey real-time air quality information. Although this topic has been widely explored, little attention has been given to the visualization of historical data. Since historical air quality data is extensive, its analysis, interpretation, and communication require effective methods. This study focuses on the development of interactive visual tools that facilitate the exploration of historical air quality data in Portugal, enabling the investigation of relevant analytical questions. The research is based on hourly measurements of atmospheric pollutant concentrations collected over more than twenty years from the QualAr platform, meteorological data provided by the Portuguese Institute for Sea and Atmosphere, and records of dust occurrences. From the processing of these datasets, a structured dataset suitable for analysis was generated. To effectively address analytical questions, four dashboards were developed, allowing the exploration of this data according to different perspectives, using various aggregations and relevant metrics. The versatility of the tools, developed through a tailored methodology, enables diverse and in-depth analyses, making the examination of large volumes of data more accessible. As a result, the dashboards not only facilitate the extraction of insights but also allow for clear communication of results, even to less specialized audiences. By providing a comprehensive analysis of air quality in Portugal over time, this study has the potential to contribute significantly to informed decision-making and the implementation of more effective policies to combat air pollution and protect public health and the environment.
Descrição
Palavras-chave
Visualização Interativa de Dados Qualidade do Ar Análise de Dados Metereologia Séries Temporais