Improving public health in smart cities in the air pollution context

Detalhes bibliográficos
Autor(a) principal: Twesigye, Anthony
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/33796
Resumo: Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
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spelling Improving public health in smart cities in the air pollution contextPublic healthAir Quality IndexAir Pollution IndexPollutant concentrationsSpatial interpolationWeb feature serviceDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesThe public has continually developed interest in knowing the air quality around them. This is of great importance not only for planning their activities, but also for taking precautionary measures for their health. With support from smart cities infrastructure that supports taking measurements of pollutant concentrations, several countries and researchers have used the concept of air quality index (AQI) in its different forms of air quality or air pollution to interpret and communicate such measurements. In this study we have reviewed the implemented indices by government bodies and some formulations from researchers in relation to the available data to determine an optimum index for Madrid city. This comparison has helped to formulate the Madrid Local Air Quality Index (MLAQI), which considers the local situation in Madrid city. In relation to the available data from the city council, we have reviewed and compared some of the spatial interpolation methods that have been applied in the field of air pollution. This helped us to identify IDW for support of automated hourly pollution interpolation for the available data from Madrid pollution sensors. We have then used MLAQI and IDW to create an hourly pollution Web Feature service aimed at helping with public awareness of the air quality around them. The surfaces are categorised with the index categories from good to very poor categories with defined colour coding. We used the created service to develop a routing web application where high MLAQI categories of poor and very poor are used as polygon barriers to limit the route calculation in those polluted areas thereby helping the public to protect their health from such areas.Ramos Romero, José FranciscoCosta, Ana Cristina Marinho daVerstegen, JudithRUNTwesigye, Anthony2018-04-04T16:47:08Z2018-03-022018-03-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/33796TID:201893991enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:18:33Zoai:run.unl.pt:10362/33796Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:04.904791Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Improving public health in smart cities in the air pollution context
title Improving public health in smart cities in the air pollution context
spellingShingle Improving public health in smart cities in the air pollution context
Twesigye, Anthony
Public health
Air Quality Index
Air Pollution Index
Pollutant concentrations
Spatial interpolation
Web feature service
title_short Improving public health in smart cities in the air pollution context
title_full Improving public health in smart cities in the air pollution context
title_fullStr Improving public health in smart cities in the air pollution context
title_full_unstemmed Improving public health in smart cities in the air pollution context
title_sort Improving public health in smart cities in the air pollution context
author Twesigye, Anthony
author_facet Twesigye, Anthony
author_role author
dc.contributor.none.fl_str_mv Ramos Romero, José Francisco
Costa, Ana Cristina Marinho da
Verstegen, Judith
RUN
dc.contributor.author.fl_str_mv Twesigye, Anthony
dc.subject.por.fl_str_mv Public health
Air Quality Index
Air Pollution Index
Pollutant concentrations
Spatial interpolation
Web feature service
topic Public health
Air Quality Index
Air Pollution Index
Pollutant concentrations
Spatial interpolation
Web feature service
description Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
publishDate 2018
dc.date.none.fl_str_mv 2018-04-04T16:47:08Z
2018-03-02
2018-03-02T00:00:00Z
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/10362/33796
TID:201893991
url http://hdl.handle.net/10362/33796
identifier_str_mv TID:201893991
dc.language.iso.fl_str_mv eng
language eng
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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