Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings

Bibliographic Details
Main Author: Boieiro, Francisco Salgueiro Maltez Matos
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/165453
Summary: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable BuildingsAir PollutionVertical Greening SystemsGreen WallsNO2PM10Multi-Criteria AnalysisAnalytic Hierarchy ProcessSDG 3 - Good health and well-beingSDG 7 - Affordable and clean energySDG 9 - Industry, innovation and infrastructureSDG 11 - Sustainable cities and communitiesSDG 13 - Climate actionSDG 15 - Life on landSDG 17 - Partnerships for the goalsDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesVertical Greening Systems (VGS) presents a myriad of advantages, encompassing air pollution mitigation, aesthetic enhancement, improved well-being, noise reduction, enhanced thermal comfort and others. These attributes position VGS as a valuable addition to urban environments, fostering sustainability and environmental friendliness. Functioning as natural filters, Green Walls (GW) trap airborne pollutants, contributing to a reduction in NO2 and PM10 levels. The effectiveness of GW hinges on various factors, including vegetation characteristics and physical dimensions. Integrating VGS in urban settings holds the potential to create healthier and more sustainable surroundings. This study, informed by a literature review, suggests a potential decrease of up to 34.25% in NO2 levels and 42.5% in PM10 levels. The research seeks to advance the understanding of air pollution in Lisbon, explore the potential of VGS in mitigating air pollution, and establish a framework for selecting suitable buildings for VGS implementation. The study unfolds through four primary objectives: mapping air pollution, developing a comprehensive framework with expert-defined criteria for building selection, applying this framework to identify suitable buildings, and creating comparison maps to assess the GW impact on air pollution. Expert consultations played a crucial role in identifying six key criteria for determining a building’s suitability for hosting VGS. The spatial analysis, integrating criteria such as building structure, wind effects, solar exposure, and the 3-30-300 rule, employs the Analytical Hierarchy Process (AHP) for multi-criteria analysis. The outcome is a suitability map, categorizing buildings based on their suitability for GW deployment. Air pollution analysis reveals elevated NO2 levels in Lisbon throughout 2022, exceeding legal limits by up to five times, while PM10 levels generally remained below legal thresholds. The study underscores the potential of VGS, emphasizing the spatial impact on air pollution mitigation. Comparison maps elucidate the effectiveness of implementing these structures in reducing air pollution levels. Future research opportunities include the integration of Artificial Intelligence (AI) for pattern detection, refining criteria for optimal GW deployment, expanding wind sensor deployment, continuous sensor maintenance, improving building footprint accuracy, and fostering collaborative efforts among experts. In conclusion, this study lays a robust foundation for translating theoretical insights into practical solutions. The collaborative model developed underscores VGS’s potential to significantly reduce air pollution in Lisbon, presenting a holistic approach to address environmental challenges.Painho, Marco Octávio TrindadeGuijarro, Joaquín HuertaHenriques, Roberto André PereiraRUNBoieiro, Francisco Salgueiro Maltez Matos2024-03-26T16:49:47Z2024-02-292024-02-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/165453TID:203559290enginfo: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:RCAAP2024-05-22T18:19:57Zoai:run.unl.pt:10362/165453Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:50:43.448891Repositórios 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 Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings
title Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings
spellingShingle Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings
Boieiro, Francisco Salgueiro Maltez Matos
Air Pollution
Vertical Greening Systems
Green Walls
NO2
PM10
Multi-Criteria Analysis
Analytic Hierarchy Process
SDG 3 - Good health and well-being
SDG 7 - Affordable and clean energy
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 13 - Climate action
SDG 15 - Life on land
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings
title_full Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings
title_fullStr Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings
title_full_unstemmed Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings
title_sort Assessing the Feasibility of Vertical Greening Systems for Air Pollution Mitigation in Lisbon: A GIS Approach to Identifying Suitable Buildings
author Boieiro, Francisco Salgueiro Maltez Matos
author_facet Boieiro, Francisco Salgueiro Maltez Matos
author_role author
dc.contributor.none.fl_str_mv Painho, Marco Octávio Trindade
Guijarro, Joaquín Huerta
Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Boieiro, Francisco Salgueiro Maltez Matos
dc.subject.por.fl_str_mv Air Pollution
Vertical Greening Systems
Green Walls
NO2
PM10
Multi-Criteria Analysis
Analytic Hierarchy Process
SDG 3 - Good health and well-being
SDG 7 - Affordable and clean energy
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 13 - Climate action
SDG 15 - Life on land
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Air Pollution
Vertical Greening Systems
Green Walls
NO2
PM10
Multi-Criteria Analysis
Analytic Hierarchy Process
SDG 3 - Good health and well-being
SDG 7 - Affordable and clean energy
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 13 - Climate action
SDG 15 - Life on land
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2024
dc.date.none.fl_str_mv 2024-03-26T16:49:47Z
2024-02-29
2024-02-29T00:00:00Z
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/10362/165453
TID:203559290
url http://hdl.handle.net/10362/165453
identifier_str_mv TID:203559290
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution 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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