Influence of traffic emissions estimation variability on urban air quality modelling
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10284/9359 |
Resumo: | The main objective of this work is to analyse how uncertainties in emission data of nitrogen oxides (NOx) and volatile organic compounds (VOC), originated from road traffic, influence the model prediction of ozone (O3) concentration fields. Different methods to estimate emissions were applied and results were compared in order to obtain their variability. Based on these data, different emission scenarios were compiled for each pollutant considering the minimum and the maximum values of the estimated emission range. These scenarios were used as input to the MARIV mesoscale modelling system. Simulations have been performed for a summer day in the Northern Region of Portugal. The different approaches to estimate NOx and VOC traffic emissions show a significant variability of absolute values and of their spatial distribution. Comparison of modelling results obtained from the two scenarios presents a dissimilarity of 37% for ozone concentration fields as a response of the system to a variation in the input emission data of 63% for NOx and 59% for VOC. Far beyond all difficulties and approximations, the developed methodology to build up an emission data base shows to be consistent and an useful tool in order to turn applicable an air quality model. Nevertheless, the sensitivity of the model to input data should be considered when it is used as a decision support tool. |
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Influence of traffic emissions estimation variability on urban air quality modellingEmission inventoryEmission uncertaintiesMesoscale modellingPhotochemical pollutionRoad traffic emissionsThe main objective of this work is to analyse how uncertainties in emission data of nitrogen oxides (NOx) and volatile organic compounds (VOC), originated from road traffic, influence the model prediction of ozone (O3) concentration fields. Different methods to estimate emissions were applied and results were compared in order to obtain their variability. Based on these data, different emission scenarios were compiled for each pollutant considering the minimum and the maximum values of the estimated emission range. These scenarios were used as input to the MARIV mesoscale modelling system. Simulations have been performed for a summer day in the Northern Region of Portugal. The different approaches to estimate NOx and VOC traffic emissions show a significant variability of absolute values and of their spatial distribution. Comparison of modelling results obtained from the two scenarios presents a dissimilarity of 37% for ozone concentration fields as a response of the system to a variation in the input emission data of 63% for NOx and 59% for VOC. Far beyond all difficulties and approximations, the developed methodology to build up an emission data base shows to be consistent and an useful tool in order to turn applicable an air quality model. Nevertheless, the sensitivity of the model to input data should be considered when it is used as a decision support tool.SpringerRepositório Institucional da Universidade Fernando PessoaBorrego, CarlosTchepel, OxanaMonteiro, AlexandraBarros, NelsonMiranda, Ana Isabel2021-02-09T10:06:42Z2021-01-25T17:32:58Z2002-01-01T00:00:00Z2002-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/9359eng1573-2932cv-prod-20131210.1023/A:1021384712461metadata only accessinfo: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:RCAAP2022-09-06T02:08:36Zoai:bdigital.ufp.pt:10284/9359Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:46:06.032976Repositório 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 |
Influence of traffic emissions estimation variability on urban air quality modelling |
title |
Influence of traffic emissions estimation variability on urban air quality modelling |
spellingShingle |
Influence of traffic emissions estimation variability on urban air quality modelling Borrego, Carlos Emission inventory Emission uncertainties Mesoscale modelling Photochemical pollution Road traffic emissions |
title_short |
Influence of traffic emissions estimation variability on urban air quality modelling |
title_full |
Influence of traffic emissions estimation variability on urban air quality modelling |
title_fullStr |
Influence of traffic emissions estimation variability on urban air quality modelling |
title_full_unstemmed |
Influence of traffic emissions estimation variability on urban air quality modelling |
title_sort |
Influence of traffic emissions estimation variability on urban air quality modelling |
author |
Borrego, Carlos |
author_facet |
Borrego, Carlos Tchepel, Oxana Monteiro, Alexandra Barros, Nelson Miranda, Ana Isabel |
author_role |
author |
author2 |
Tchepel, Oxana Monteiro, Alexandra Barros, Nelson Miranda, Ana Isabel |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Institucional da Universidade Fernando Pessoa |
dc.contributor.author.fl_str_mv |
Borrego, Carlos Tchepel, Oxana Monteiro, Alexandra Barros, Nelson Miranda, Ana Isabel |
dc.subject.por.fl_str_mv |
Emission inventory Emission uncertainties Mesoscale modelling Photochemical pollution Road traffic emissions |
topic |
Emission inventory Emission uncertainties Mesoscale modelling Photochemical pollution Road traffic emissions |
description |
The main objective of this work is to analyse how uncertainties in emission data of nitrogen oxides (NOx) and volatile organic compounds (VOC), originated from road traffic, influence the model prediction of ozone (O3) concentration fields. Different methods to estimate emissions were applied and results were compared in order to obtain their variability. Based on these data, different emission scenarios were compiled for each pollutant considering the minimum and the maximum values of the estimated emission range. These scenarios were used as input to the MARIV mesoscale modelling system. Simulations have been performed for a summer day in the Northern Region of Portugal. The different approaches to estimate NOx and VOC traffic emissions show a significant variability of absolute values and of their spatial distribution. Comparison of modelling results obtained from the two scenarios presents a dissimilarity of 37% for ozone concentration fields as a response of the system to a variation in the input emission data of 63% for NOx and 59% for VOC. Far beyond all difficulties and approximations, the developed methodology to build up an emission data base shows to be consistent and an useful tool in order to turn applicable an air quality model. Nevertheless, the sensitivity of the model to input data should be considered when it is used as a decision support tool. |
publishDate |
2002 |
dc.date.none.fl_str_mv |
2002-01-01T00:00:00Z 2002-01-01T00:00:00Z 2021-02-09T10:06:42Z 2021-01-25T17:32:58Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10284/9359 |
url |
http://hdl.handle.net/10284/9359 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1573-2932 cv-prod-201312 10.1023/A:1021384712461 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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 |
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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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1799130327264788480 |