Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model

Detalhes bibliográficos
Autor(a) principal: Monteiro, Alexandra
Data de Publicação: 2015
Outros Autores: Fernandes, Ana Patricia, Gama, Carla, Borrego, Carlos, Tchepel, Oxana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/17190
Resumo: Over the last decade, air pollution has become a major problem in Portugal mainly due to the high concentrations of particulate matter in the atmosphere, which surpassed the daily limit values. An abundant type of natural atmospheric aerosol is related with the suspension and long–range transport of mineral dust from North Africa deserts. The main objective of this work was to assess the mineral dust over Portugal, namely in what concerns both long–term period (one year) and episode peaks. The BSC–DREAM8b v1.0 model was applied for the entire year of 2011 and the modeled surface concentrations were explored. The annual mean of the simulated dust has a magnitude of 2–6 μg m–3. The monthly average analysis highlights the largest mineral dust average values in April and May (about 4 μg m–3 higher than the other months). The influence of the transport of mineral dust from North Africa to Portugal is limited on time scale, since in 50% of the time this contribution is below 0.2 μg m–3. Only when high percentiles are analyzed the dust surface concentrations over Portugal become relevant (>3 μg m–3; with peak contribution around 10–25 μg m–3). To characterize the strongest episodes of dust, a group of days with modeled surface daily concentrations above 5 μg m–3 was selected, and data were extracted for 7 sites, spatially distributed along Portugal. A cluster analysis of the air parcels back trajectories that arrive at each site was performed in order to identify the mean flow patterns associated to each mineral dust episode. The prevalence of the flow regimes coming from North Africa during the episode days was different for the studied sites, with high frequency (above 70%) at south sites. This work contributes to the characterization and assessment of the dust episodes that affect Portugal, on a yearly basis and based on a modeling approach.
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spelling Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b modelMineral dustBSC–DREAM8b modellong–term assessmentepisodescluster analysisOver the last decade, air pollution has become a major problem in Portugal mainly due to the high concentrations of particulate matter in the atmosphere, which surpassed the daily limit values. An abundant type of natural atmospheric aerosol is related with the suspension and long–range transport of mineral dust from North Africa deserts. The main objective of this work was to assess the mineral dust over Portugal, namely in what concerns both long–term period (one year) and episode peaks. The BSC–DREAM8b v1.0 model was applied for the entire year of 2011 and the modeled surface concentrations were explored. The annual mean of the simulated dust has a magnitude of 2–6 μg m–3. The monthly average analysis highlights the largest mineral dust average values in April and May (about 4 μg m–3 higher than the other months). The influence of the transport of mineral dust from North Africa to Portugal is limited on time scale, since in 50% of the time this contribution is below 0.2 μg m–3. Only when high percentiles are analyzed the dust surface concentrations over Portugal become relevant (>3 μg m–3; with peak contribution around 10–25 μg m–3). To characterize the strongest episodes of dust, a group of days with modeled surface daily concentrations above 5 μg m–3 was selected, and data were extracted for 7 sites, spatially distributed along Portugal. A cluster analysis of the air parcels back trajectories that arrive at each site was performed in order to identify the mean flow patterns associated to each mineral dust episode. The prevalence of the flow regimes coming from North Africa during the episode days was different for the studied sites, with high frequency (above 70%) at south sites. This work contributes to the characterization and assessment of the dust episodes that affect Portugal, on a yearly basis and based on a modeling approach.Elsevier2017-04-06T12:01:09Z2015-01-01T00:00:00Z2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/17190eng1309-104210.5094/APR.2015.009Monteiro, AlexandraFernandes, Ana PatriciaGama, CarlaBorrego, CarlosTchepel, Oxanainfo: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:RCAAP2024-02-22T11:31:36Zoai:ria.ua.pt:10773/17190Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:51:55.635455Repositório 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 Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model
title Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model
spellingShingle Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model
Monteiro, Alexandra
Mineral dust
BSC–DREAM8b model
long–term assessment
episodes
cluster analysis
title_short Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model
title_full Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model
title_fullStr Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model
title_full_unstemmed Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model
title_sort Assessing the mineral dust from North Africa over Portugal region using BSC-DREAM8b model
author Monteiro, Alexandra
author_facet Monteiro, Alexandra
Fernandes, Ana Patricia
Gama, Carla
Borrego, Carlos
Tchepel, Oxana
author_role author
author2 Fernandes, Ana Patricia
Gama, Carla
Borrego, Carlos
Tchepel, Oxana
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Monteiro, Alexandra
Fernandes, Ana Patricia
Gama, Carla
Borrego, Carlos
Tchepel, Oxana
dc.subject.por.fl_str_mv Mineral dust
BSC–DREAM8b model
long–term assessment
episodes
cluster analysis
topic Mineral dust
BSC–DREAM8b model
long–term assessment
episodes
cluster analysis
description Over the last decade, air pollution has become a major problem in Portugal mainly due to the high concentrations of particulate matter in the atmosphere, which surpassed the daily limit values. An abundant type of natural atmospheric aerosol is related with the suspension and long–range transport of mineral dust from North Africa deserts. The main objective of this work was to assess the mineral dust over Portugal, namely in what concerns both long–term period (one year) and episode peaks. The BSC–DREAM8b v1.0 model was applied for the entire year of 2011 and the modeled surface concentrations were explored. The annual mean of the simulated dust has a magnitude of 2–6 μg m–3. The monthly average analysis highlights the largest mineral dust average values in April and May (about 4 μg m–3 higher than the other months). The influence of the transport of mineral dust from North Africa to Portugal is limited on time scale, since in 50% of the time this contribution is below 0.2 μg m–3. Only when high percentiles are analyzed the dust surface concentrations over Portugal become relevant (>3 μg m–3; with peak contribution around 10–25 μg m–3). To characterize the strongest episodes of dust, a group of days with modeled surface daily concentrations above 5 μg m–3 was selected, and data were extracted for 7 sites, spatially distributed along Portugal. A cluster analysis of the air parcels back trajectories that arrive at each site was performed in order to identify the mean flow patterns associated to each mineral dust episode. The prevalence of the flow regimes coming from North Africa during the episode days was different for the studied sites, with high frequency (above 70%) at south sites. This work contributes to the characterization and assessment of the dust episodes that affect Portugal, on a yearly basis and based on a modeling approach.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2015
2017-04-06T12:01:09Z
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/10773/17190
url http://hdl.handle.net/10773/17190
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1309-1042
10.5094/APR.2015.009
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.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
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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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