Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes

Autores
Pascual Flores, Romina María; Bolaño Ortiz, Tomas Rafael; Puliafito, Salvador Enrique
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The Central Andes are an area located in South America, between latitudes 30 ° and 40 ° south. It is important because it contains the largest metropolitan area in Chile, Santiago and the fourth largest city in Argentina, Mendoza. According to climate predictions, this region would be very affected by climate change, which would cause an alteration of the relationships between liquidand solid precipitation, albedo variations, changes in the seasonal distribution of Andean fluvial spills and overtaking in runoff peaks. Due to the possible socioeconomic impacts in the region, it is necessary to design and implement adaptation strategies for these anticipated changes. An accurate prediction requires a correct representation of atmospheric conditions, their development and evolution. Recent studies conducted by our research group show that thepresence of atmospheric aerosols would be related to the negative trend variations of albedo in the snow during the last 17 years, which leads to an increase in the thaw rate. Even so, there is a high degree of uncertainty about the identification and characterization of the sources of origin of the aerosols that contribute most to the darkening of the snow. In addition, the particulatematerial, depending on its size, quantity and chemical composition, could modify the constitution of the clouds, reducing the precipitation of rain or snow and increasing the formation of hail. The physics and dynamics of this type of events can be understood through the use of mesoscale models. In this work, inventories of regional anthropogenic emissions of own elaboration are incorporated to the simulations carried out with the WRF-Chem model to studythe relationships: aerosols-albedo and aerosols-precipitations. The objective is to recognize the retro-trajectories that indicate potential sources of contamination, and to improve the modeling with own measurements, made for the criteria pollutants: PM, BC, OC and dust.
Fil: Pascual Flores, Romina María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
Fil: Bolaño Ortiz, Tomas Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
School of Atmospheric Measurements in Latin America and the Caribbean: Atmospheric particles and Reactive Gases
San Juan
Puerto Rico
University of Puerto Rico
Materia
Central Andes
WRF-Chem model
atmospheric pollution
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/136886
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central AndesPascual Flores, Romina MaríaBolaño Ortiz, Tomas RafaelPuliafito, Salvador EnriqueCentral AndesWRF-Chem modelatmospheric pollutionhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The Central Andes are an area located in South America, between latitudes 30 ° and 40 ° south. It is important because it contains the largest metropolitan area in Chile, Santiago and the fourth largest city in Argentina, Mendoza. According to climate predictions, this region would be very affected by climate change, which would cause an alteration of the relationships between liquidand solid precipitation, albedo variations, changes in the seasonal distribution of Andean fluvial spills and overtaking in runoff peaks. Due to the possible socioeconomic impacts in the region, it is necessary to design and implement adaptation strategies for these anticipated changes. An accurate prediction requires a correct representation of atmospheric conditions, their development and evolution. Recent studies conducted by our research group show that thepresence of atmospheric aerosols would be related to the negative trend variations of albedo in the snow during the last 17 years, which leads to an increase in the thaw rate. Even so, there is a high degree of uncertainty about the identification and characterization of the sources of origin of the aerosols that contribute most to the darkening of the snow. In addition, the particulatematerial, depending on its size, quantity and chemical composition, could modify the constitution of the clouds, reducing the precipitation of rain or snow and increasing the formation of hail. The physics and dynamics of this type of events can be understood through the use of mesoscale models. In this work, inventories of regional anthropogenic emissions of own elaboration are incorporated to the simulations carried out with the WRF-Chem model to studythe relationships: aerosols-albedo and aerosols-precipitations. The objective is to recognize the retro-trajectories that indicate potential sources of contamination, and to improve the modeling with own measurements, made for the criteria pollutants: PM, BC, OC and dust.Fil: Pascual Flores, Romina María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Bolaño Ortiz, Tomas Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSchool of Atmospheric Measurements in Latin America and the Caribbean: Atmospheric particles and Reactive GasesSan JuanPuerto RicoUniversity of Puerto RicoUniversity of Puerto Rico2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectOtroBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/136886Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes; School of Atmospheric Measurements in Latin America and the Caribbean: Atmospheric particles and Reactive Gases; San Juan; Puerto Rico; 2018; 34-34CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://samlac.uprrp.edu/program/Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:22:11Zoai:ri.conicet.gov.ar:11336/136886instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:22:11.353CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes
title Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes
spellingShingle Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes
Pascual Flores, Romina María
Central Andes
WRF-Chem model
atmospheric pollution
title_short Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes
title_full Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes
title_fullStr Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes
title_full_unstemmed Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes
title_sort Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes
dc.creator.none.fl_str_mv Pascual Flores, Romina María
Bolaño Ortiz, Tomas Rafael
Puliafito, Salvador Enrique
author Pascual Flores, Romina María
author_facet Pascual Flores, Romina María
Bolaño Ortiz, Tomas Rafael
Puliafito, Salvador Enrique
author_role author
author2 Bolaño Ortiz, Tomas Rafael
Puliafito, Salvador Enrique
author2_role author
author
dc.subject.none.fl_str_mv Central Andes
WRF-Chem model
atmospheric pollution
topic Central Andes
WRF-Chem model
atmospheric pollution
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The Central Andes are an area located in South America, between latitudes 30 ° and 40 ° south. It is important because it contains the largest metropolitan area in Chile, Santiago and the fourth largest city in Argentina, Mendoza. According to climate predictions, this region would be very affected by climate change, which would cause an alteration of the relationships between liquidand solid precipitation, albedo variations, changes in the seasonal distribution of Andean fluvial spills and overtaking in runoff peaks. Due to the possible socioeconomic impacts in the region, it is necessary to design and implement adaptation strategies for these anticipated changes. An accurate prediction requires a correct representation of atmospheric conditions, their development and evolution. Recent studies conducted by our research group show that thepresence of atmospheric aerosols would be related to the negative trend variations of albedo in the snow during the last 17 years, which leads to an increase in the thaw rate. Even so, there is a high degree of uncertainty about the identification and characterization of the sources of origin of the aerosols that contribute most to the darkening of the snow. In addition, the particulatematerial, depending on its size, quantity and chemical composition, could modify the constitution of the clouds, reducing the precipitation of rain or snow and increasing the formation of hail. The physics and dynamics of this type of events can be understood through the use of mesoscale models. In this work, inventories of regional anthropogenic emissions of own elaboration are incorporated to the simulations carried out with the WRF-Chem model to studythe relationships: aerosols-albedo and aerosols-precipitations. The objective is to recognize the retro-trajectories that indicate potential sources of contamination, and to improve the modeling with own measurements, made for the criteria pollutants: PM, BC, OC and dust.
Fil: Pascual Flores, Romina María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
Fil: Bolaño Ortiz, Tomas Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
School of Atmospheric Measurements in Latin America and the Caribbean: Atmospheric particles and Reactive Gases
San Juan
Puerto Rico
University of Puerto Rico
description The Central Andes are an area located in South America, between latitudes 30 ° and 40 ° south. It is important because it contains the largest metropolitan area in Chile, Santiago and the fourth largest city in Argentina, Mendoza. According to climate predictions, this region would be very affected by climate change, which would cause an alteration of the relationships between liquidand solid precipitation, albedo variations, changes in the seasonal distribution of Andean fluvial spills and overtaking in runoff peaks. Due to the possible socioeconomic impacts in the region, it is necessary to design and implement adaptation strategies for these anticipated changes. An accurate prediction requires a correct representation of atmospheric conditions, their development and evolution. Recent studies conducted by our research group show that thepresence of atmospheric aerosols would be related to the negative trend variations of albedo in the snow during the last 17 years, which leads to an increase in the thaw rate. Even so, there is a high degree of uncertainty about the identification and characterization of the sources of origin of the aerosols that contribute most to the darkening of the snow. In addition, the particulatematerial, depending on its size, quantity and chemical composition, could modify the constitution of the clouds, reducing the precipitation of rain or snow and increasing the formation of hail. The physics and dynamics of this type of events can be understood through the use of mesoscale models. In this work, inventories of regional anthropogenic emissions of own elaboration are incorporated to the simulations carried out with the WRF-Chem model to studythe relationships: aerosols-albedo and aerosols-precipitations. The objective is to recognize the retro-trajectories that indicate potential sources of contamination, and to improve the modeling with own measurements, made for the criteria pollutants: PM, BC, OC and dust.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Otro
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/136886
Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes; School of Atmospheric Measurements in Latin America and the Caribbean: Atmospheric particles and Reactive Gases; San Juan; Puerto Rico; 2018; 34-34
CONICET Digital
CONICET
url http://hdl.handle.net/11336/136886
identifier_str_mv Characterization of the spatio-temporal variation of atmospheric pollution. WRF-Chem simulations and analysis potential sources contribution on the Central Andes; School of Atmospheric Measurements in Latin America and the Caribbean: Atmospheric particles and Reactive Gases; San Juan; Puerto Rico; 2018; 34-34
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://samlac.uprrp.edu/program/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv University of Puerto Rico
publisher.none.fl_str_mv University of Puerto Rico
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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