Interactive air pollution mapping tool for experts
Main Author: | |
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Publication Date: | 2020 |
Format: | Master thesis |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10071/22019 |
Summary: | Air pollution, especially in city areas, has been a big concern for decades now. Real-time air quality monitoring stations have become the standard in measuring air pollution for their accuracy and reliability. As a result, extensive pollution maps are nowadays created mainly using information from these stations. Two types of pollution mapping solutions are most prominent: maps that display sparse monitoring stations' locations and respective gathered time varying air pollution data; and estimated dense pollution heatmaps resulting from a combination of air quality sensor data and additional data, such as meteorological and traffic information. In alternative, this dissertation proposes the use of expert knowledge as a complementary means for generating air quality maps. The goal is to allow experts to express their knowledge about how air pollution is emitted and diffused as a function of the presence of key topological elements, such as buildings and roads. To this end, a tool was developed and validated with a set of 30 participants. The obtained results confirm the tool's usability and highlight key future research directions to bring the proposed concept closer to a fully functional solution. |
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Interactive air pollution mapping tool for expertsAir quality monitoringHuman-machine interfacePollution representationExpert knowledgeInterface usabilityMonitorização da qualidade do arInterface homem-máquinaRepresentação de poluiçãoConhecimento de peritosUsabilidade de interfaceAir pollution, especially in city areas, has been a big concern for decades now. Real-time air quality monitoring stations have become the standard in measuring air pollution for their accuracy and reliability. As a result, extensive pollution maps are nowadays created mainly using information from these stations. Two types of pollution mapping solutions are most prominent: maps that display sparse monitoring stations' locations and respective gathered time varying air pollution data; and estimated dense pollution heatmaps resulting from a combination of air quality sensor data and additional data, such as meteorological and traffic information. In alternative, this dissertation proposes the use of expert knowledge as a complementary means for generating air quality maps. The goal is to allow experts to express their knowledge about how air pollution is emitted and diffused as a function of the presence of key topological elements, such as buildings and roads. To this end, a tool was developed and validated with a set of 30 participants. The obtained results confirm the tool's usability and highlight key future research directions to bring the proposed concept closer to a fully functional solution.Há décadas que a poluição do ar, especialmente em zona citadinas, tem sido uma grande preocupação. Estações de monitorização da qualidade do ar em tempo real tornaram-se o padrão para obter medições de poluição no ar devido à sua precisão e confiabilidade. Como resultado, atualmente, mapas de poluição extensivos são criados com o uso de informação recolhida destas estações. Dois tipos de soluções para mapeamento de poluição são proeminentes: mapas que exibem localizações de estações de monitorização e respetivos dados de poluição do ar; e mapas de calor de poluição estimados a partir de uma combinação de dados recolhidos de sensores de qualidade do ar e dados adicionais, como informação meteorológica e de tráfego. Em alternativa, esta dissertação propõe o uso de conhecimento de peritos como uma forma complementar de geração de mapas de qualidade do ar. O objetivo é permitir a partilha de conhecimento de peritos acerca de como a poluição do ar é emitida e difundida em função da presença de elementos topológicos chave, como edifícios e estradas. Para este fim, uma ferramenta foi desenvolvida e testada com um conjunto de 30 participantes. Os resultados obtidos confirmam a usabilidade da ferramenta e realçam futuras direções de investigação para aproximar o conceito proposto de uma solução completa e funcional.2021-02-15T10:17:18Z2020-12-17T00:00:00Z2020-12-172020-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/22019TID:202627144engVital, Duarte Vaz Correiainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T02:55:17Zoai:repositorio.iscte-iul.pt:10071/22019Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:10:40.256480Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Interactive air pollution mapping tool for experts |
title |
Interactive air pollution mapping tool for experts |
spellingShingle |
Interactive air pollution mapping tool for experts Vital, Duarte Vaz Correia Air quality monitoring Human-machine interface Pollution representation Expert knowledge Interface usability Monitorização da qualidade do ar Interface homem-máquina Representação de poluição Conhecimento de peritos Usabilidade de interface |
title_short |
Interactive air pollution mapping tool for experts |
title_full |
Interactive air pollution mapping tool for experts |
title_fullStr |
Interactive air pollution mapping tool for experts |
title_full_unstemmed |
Interactive air pollution mapping tool for experts |
title_sort |
Interactive air pollution mapping tool for experts |
author |
Vital, Duarte Vaz Correia |
author_facet |
Vital, Duarte Vaz Correia |
author_role |
author |
dc.contributor.author.fl_str_mv |
Vital, Duarte Vaz Correia |
dc.subject.por.fl_str_mv |
Air quality monitoring Human-machine interface Pollution representation Expert knowledge Interface usability Monitorização da qualidade do ar Interface homem-máquina Representação de poluição Conhecimento de peritos Usabilidade de interface |
topic |
Air quality monitoring Human-machine interface Pollution representation Expert knowledge Interface usability Monitorização da qualidade do ar Interface homem-máquina Representação de poluição Conhecimento de peritos Usabilidade de interface |
description |
Air pollution, especially in city areas, has been a big concern for decades now. Real-time air quality monitoring stations have become the standard in measuring air pollution for their accuracy and reliability. As a result, extensive pollution maps are nowadays created mainly using information from these stations. Two types of pollution mapping solutions are most prominent: maps that display sparse monitoring stations' locations and respective gathered time varying air pollution data; and estimated dense pollution heatmaps resulting from a combination of air quality sensor data and additional data, such as meteorological and traffic information. In alternative, this dissertation proposes the use of expert knowledge as a complementary means for generating air quality maps. The goal is to allow experts to express their knowledge about how air pollution is emitted and diffused as a function of the presence of key topological elements, such as buildings and roads. To this end, a tool was developed and validated with a set of 30 participants. The obtained results confirm the tool's usability and highlight key future research directions to bring the proposed concept closer to a fully functional solution. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-17T00:00:00Z 2020-12-17 2020-12 2021-02-15T10:17:18Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/22019 TID:202627144 |
url |
http://hdl.handle.net/10071/22019 |
identifier_str_mv |
TID:202627144 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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