Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices

Detalhes bibliográficos
Autor(a) principal: Eason, Sarah Anne
Data de Publicação: 2013
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/9194
Resumo: Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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spelling Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practicesArcGISCrowdsourcingGISEuropean Noise DirectiveInterpolationNoise mappingNoise pollutionPPGISSmart CampusSmart PhoneSpatial analysisVGIDissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Noise is a type of pollution often overlooked in conversations about pollution, which usually center on air, water and waste management. However, it has not been missed by decision makers in the European Union (EU). There are laws to keep noise levels down, and schools are a target specifically mentioned in the European Environmental Noise Directive (END). Strategic noise mapping can identify problem areas and help evaluate situations. This thesis project explores and compares various approaches in an attempt to offer useful information to the noise mapping field based on the results of the analysis. The measurements used commonly in studies are taken by professionals using professional equipment. Either teams physically enter the environment to manually take measurements or they collect data wirelessly from fixed sensors. Both of these methods are expensive due to the manpower or equipment. In addition, these methods are limited in the number of measurements in space and time that they can represent. One option is to use citizens with smart phones to record noise measurements. Involving the public to gather information is commonly called crowdsourcing, Volunteered Geographic Information (VGI) or Public Participatory GIS (PPGIS). Three applications for Android smart phones were tested and compared to a certified, calibrated professional sound level meter. Also, mapping noise by taking sample noise measurements without also mapping noise sources may not provide the full picture. The second objective of this thesis was to apply sound attenuation and combination rules in ArcGIS to create a noise source map and compare the results to the common spatial interpolation methods. The comparisons of smart phone measurements with the professional sound level measurements revealed that they are not comparable quality. Each ANOVA and t-Test revealed statistically significant differences. This is mostly attributed to the phone’s hardware, which varies between mobile device models and versions. The geostatistical interpolation tools delivered noise maps which had similar accuracy rates for predicting measurement points according to the cross validation methods used. The best (most accurate) prediction model was indeed the kriging method. The author successfully applied sound attenuation equations to create a multiple noise source propagation and combination interpolation toolset in ArcGIS. This can be used for an infinite number of noise sources. The fit of the actual measurement points in the noise source attenuation noise map was very similar although slightly higher than that of to the geostatistical methods.Gould, MichaelHuerta Guijarro, JoaquínPainho, Marco Octávio TrindadeRUNEason, Sarah Anne2013-03-25T18:00:20Z2013-03-012013-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/9194TID:202255042enginfo: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:RCAAP2024-03-11T03:42:05Zoai:run.unl.pt:10362/9194Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:18:36.628827Repositório 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 Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices
title Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices
spellingShingle Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices
Eason, Sarah Anne
ArcGIS
Crowdsourcing
GIS
European Noise Directive
Interpolation
Noise mapping
Noise pollution
PPGIS
Smart Campus
Smart Phone
Spatial analysis
VGI
title_short Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices
title_full Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices
title_fullStr Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices
title_full_unstemmed Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices
title_sort Strategic Noise Mapping with GIS for the Universitat Jaume I Smart Campus: best methodology practices
author Eason, Sarah Anne
author_facet Eason, Sarah Anne
author_role author
dc.contributor.none.fl_str_mv Gould, Michael
Huerta Guijarro, Joaquín
Painho, Marco Octávio Trindade
RUN
dc.contributor.author.fl_str_mv Eason, Sarah Anne
dc.subject.por.fl_str_mv ArcGIS
Crowdsourcing
GIS
European Noise Directive
Interpolation
Noise mapping
Noise pollution
PPGIS
Smart Campus
Smart Phone
Spatial analysis
VGI
topic ArcGIS
Crowdsourcing
GIS
European Noise Directive
Interpolation
Noise mapping
Noise pollution
PPGIS
Smart Campus
Smart Phone
Spatial analysis
VGI
description Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
publishDate 2013
dc.date.none.fl_str_mv 2013-03-25T18:00:20Z
2013-03-01
2013-03-01T00:00:00Z
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/10362/9194
TID:202255042
url http://hdl.handle.net/10362/9194
identifier_str_mv TID:202255042
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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