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...
| Autores: | , , , , , |
|---|---|
| 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 |
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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). |
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2022 |
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2025-03-25T17:16:47Z |
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2025-03-25T17:16:47Z |
| dc.date.issued.fl_str_mv |
2022-11 |
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info:eu-repo/semantics/article |
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text/publicacion cientifica |
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info:eu-repo/semantics/acceptedVersion |
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https://hdl.handle.net/20.500.12542/3938 |
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https://doi.org/10.3390/atmos13111816 |
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Atmosphere |
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Atmosphere |
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https://hdl.handle.net/20.500.12542/3938 https://hdl.handle.net/20.500.12542/3938 |
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https://hdl.handle.net/20.500.12542/3938 https://doi.org/10.3390/atmos13111816 |
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Atmosphere |
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spa |
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urn:issn:2073-4433 |
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https://www.mdpi.com/2073-4433/13/11/1816 |
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info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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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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 |
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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).