Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study

Descripción del Articulo

Automobile emissions in urban cities, such as Peru, are significant; however, there are no published studies of the effects of these emissions on PM2.5 (fine particulate matter) formation. This study aims to analyze the contributions of vehicle aerosol emissions to the surface mass concentration of...

Descripción completa

Detalles Bibliográficos
Autores: Sanchez-CCoyllo, Odón, Llacza Rodríguez, Alan, Ayma Choque, Elizabeth, Alonso, Marcelo, Castesana, Paula, Fatima Andrade, Maria
Formato: artículo
Fecha de Publicación:2022
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/3938
Enlace del recurso:https://hdl.handle.net/20.500.12542/3938
https://doi.org/10.3390/atmos13111816
Nivel de acceso:acceso abierto
Materia:Contaminación Atmosférica
Calidad del Aire
https://purl.org/pe-repo/ocde/ford#1.05.09
contaminacion del aire - Aire y Atmósfera
id SEAM_7f955b9ae53875248f6ebc36fa2012e7
oai_identifier_str oai:repositorio.senamhi.gob.pe:20.500.12542/3938
network_acronym_str SEAM
network_name_str SENAMHI-Institucional
repository_id_str 4818
dc.title.es_PE.fl_str_mv Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study
title Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study
spellingShingle Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study
Sanchez-CCoyllo, Odón
Contaminación Atmosférica
Calidad del Aire
https://purl.org/pe-repo/ocde/ford#1.05.09
contaminacion del aire - Aire y Atmósfera
title_short Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study
title_full Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study
title_fullStr Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study
title_full_unstemmed Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study
title_sort Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study
author Sanchez-CCoyllo, Odón
author_facet Sanchez-CCoyllo, Odón
Llacza Rodríguez, Alan
Ayma Choque, Elizabeth
Alonso, Marcelo
Castesana, Paula
Fatima Andrade, Maria
author_role author
author2 Llacza Rodríguez, Alan
Ayma Choque, Elizabeth
Alonso, Marcelo
Castesana, Paula
Fatima Andrade, Maria
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Sanchez-CCoyllo, Odón
Llacza Rodríguez, Alan
Ayma Choque, Elizabeth
Alonso, Marcelo
Castesana, Paula
Fatima Andrade, Maria
dc.subject.es_PE.fl_str_mv Contaminación Atmosférica
Calidad del Aire
topic Contaminación Atmosférica
Calidad del Aire
https://purl.org/pe-repo/ocde/ford#1.05.09
contaminacion del aire - Aire y Atmósfera
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.09
dc.subject.sinia.es_PE.fl_str_mv contaminacion del aire - Aire y Atmósfera
description Automobile emissions in urban cities, such as Peru, are significant; however, there are no published studies of the effects of these emissions on PM2.5 (fine particulate matter) formation. This study aims to analyze the contributions of vehicle aerosol emissions to the surface mass concentration of PM2.5 in the Metropolitan Area of Lima and Callao (MALC), one of the most polluted cities in Latin America and the Caribbean (LAC) known to have high concentrations of PM2.5. In February 2018, we performed two numerical simulations (control and sensitivity) using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). We considered both trace gasses and aerosol emissions from on-road traffic for the baseline simulation (hereinafter referred to as “control”); gasses without particulate emissions from vehicles were considered for the sensitivity simulation (hereinafter referred to as WithoutAerosol). For control, the model’s performance was evaluated using in situ on-ground PM2.5 observations. The results of the predicted PM2.5 concentration, temperature, and relative humidity at 2 m, with wind velocity at 10 m, indicated the accuracy of the model for the control scenario. The results for the WithoutAerosol scenario indicated that the contributions of vehicular trace gasses to secondary aerosols PM2.5 concentrations was 12.7%; aerosol emissions from road traffic contributed to the direct emissions of fine aerosol (31.7 ± 22.6 µg/m3).
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2025-03-25T17:16:47Z
dc.date.available.none.fl_str_mv 2025-03-25T17:16:47Z
dc.date.issued.fl_str_mv 2022-11
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.sinia.es_PE.fl_str_mv text/publicacion cientifica
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12542/3938
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/atmos13111816
dc.identifier.journal.es_PE.fl_str_mv Atmosphere
dc.identifier.journal.none.fl_str_mv Atmosphere
dc.identifier.url.none.fl_str_mv https://hdl.handle.net/20.500.12542/3938
https://hdl.handle.net/20.500.12542/3938
url https://hdl.handle.net/20.500.12542/3938
https://doi.org/10.3390/atmos13111816
identifier_str_mv Atmosphere
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.relation.ispartof.none.fl_str_mv urn:issn:2073-4433
dc.relation.uri.es_PE.fl_str_mv https://www.mdpi.com/2073-4433/13/11/1816
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv MDPI
dc.publisher.country.es_PE.fl_str_mv PE
dc.source.es_PE.fl_str_mv Repositorio Institucional - SENAMHI
Servicio Nacional de Meteorología e Hidrología del Perú
dc.source.none.fl_str_mv reponame:SENAMHI-Institucional
instname:Servicio Nacional de Meteorología e Hidrología del Perú
instacron:SENAMHI
instname_str Servicio Nacional de Meteorología e Hidrología del Perú
instacron_str SENAMHI
institution SENAMHI
reponame_str SENAMHI-Institucional
collection SENAMHI-Institucional
bitstream.url.fl_str_mv http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3938/1/Evaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf
http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3938/2/license.txt
http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3938/3/Evaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf.txt
http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3938/4/Evaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf.jpg
bitstream.checksum.fl_str_mv 13200c93bc5fa026c282ae4d5a696e75
8a4605be74aa9ea9d79846c1fba20a33
1f0e9e4143fd6a2bf163e72e2ad5ca7c
5fac6e808a214c9cc71218d051e5e0c2
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional SENAMHI
repository.mail.fl_str_mv repositorio@senamhi.gob.pe
_version_ 1847601860891901952
spelling Sanchez-CCoyllo, OdónLlacza Rodríguez, AlanAyma Choque, ElizabethAlonso, MarceloCastesana, PaulaFatima Andrade, Maria2025-03-25T17:16:47Z2025-03-25T17:16:47Z2022-11https://hdl.handle.net/20.500.12542/3938https://doi.org/10.3390/atmos13111816AtmosphereAtmospherehttps://hdl.handle.net/20.500.12542/3938https://hdl.handle.net/20.500.12542/3938Automobile emissions in urban cities, such as Peru, are significant; however, there are no published studies of the effects of these emissions on PM2.5 (fine particulate matter) formation. This study aims to analyze the contributions of vehicle aerosol emissions to the surface mass concentration of PM2.5 in the Metropolitan Area of Lima and Callao (MALC), one of the most polluted cities in Latin America and the Caribbean (LAC) known to have high concentrations of PM2.5. In February 2018, we performed two numerical simulations (control and sensitivity) using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). We considered both trace gasses and aerosol emissions from on-road traffic for the baseline simulation (hereinafter referred to as “control”); gasses without particulate emissions from vehicles were considered for the sensitivity simulation (hereinafter referred to as WithoutAerosol). For control, the model’s performance was evaluated using in situ on-ground PM2.5 observations. The results of the predicted PM2.5 concentration, temperature, and relative humidity at 2 m, with wind velocity at 10 m, indicated the accuracy of the model for the control scenario. The results for the WithoutAerosol scenario indicated that the contributions of vehicular trace gasses to secondary aerosols PM2.5 concentrations was 12.7%; aerosol emissions from road traffic contributed to the direct emissions of fine aerosol (31.7 ± 22.6 µg/m3).application/pdfspaMDPIPEurn:issn:2073-4433https://www.mdpi.com/2073-4433/13/11/1816info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Repositorio Institucional - SENAMHIServicio Nacional de Meteorología e Hidrología del Perúreponame:SENAMHI-Institucionalinstname:Servicio Nacional de Meteorología e Hidrología del Perúinstacron:SENAMHIContaminación AtmosféricaCalidad del Airehttps://purl.org/pe-repo/ocde/ford#1.05.09contaminacion del aire - Aire y AtmósferaEvaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Studyinfo:eu-repo/semantics/articletext/publicacion cientificainfo:eu-repo/semantics/acceptedVersionORIGINALEvaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdfEvaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdfTexto Completoapplication/pdf7055129http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3938/1/Evaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf13200c93bc5fa026c282ae4d5a696e75MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3938/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTEvaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf.txtEvaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf.txtExtracted texttext/plain77960http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3938/3/Evaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf.txt1f0e9e4143fd6a2bf163e72e2ad5ca7cMD53THUMBNAILEvaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf.jpgEvaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf.jpgGenerated Thumbnailimage/jpeg7281http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3938/4/Evaluating-Impact-Vehicular-Aerosol-Emissions-Particulate-Matter-Formation-Using-Modeling-Study_2022.pdf.jpg5fac6e808a214c9cc71218d051e5e0c2MD5420.500.12542/3938oai:repositorio.senamhi.gob.pe:20.500.12542/39382025-10-23 17:05:03.872Repositorio Institucional SENAMHIrepositorio@senamhi.gob.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
score 13.931421
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).