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dc.contributor.author
García, María E.
dc.contributor.author
Della Ceca, Lara Sofia
dc.contributor.author
Micheletti, Maria Isabel
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Piacentini, Ruben Dario Narciso
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Ordano, Mariano Andrés
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Reyes, Nora J. F.
dc.contributor.author
Buedo, Sebastián
dc.contributor.author
González, Juan A.
dc.date.available
2019-10-18T19:49:52Z
dc.date.issued
2018-06
dc.identifier.citation
García, María E.; Della Ceca, Lara Sofia; Micheletti, Maria Isabel; Piacentini, Ruben Dario Narciso; Ordano, Mariano Andrés; et al.; Satellite and ground atmospheric particulate matter detection over Tucuman city, Argentina, space-time distribution, climatic and seasonal variability; AIMS Environmental Science; AIMS Environmental Science; 5; 3; 6-2018; 173-194
dc.identifier.issn
2372-0352
dc.identifier.uri
http://hdl.handle.net/11336/86482
dc.description.abstract
The analysis of atmospheric particles (aerosols) is of special interest due to their potential effects on human health and other applications. In this paper the climatic and seasonal effects on aerosols have been characterized in Tucumán city (26°50’ S, 65° 13’ W,450 masl),Argentina, for the 2006–2013 period. The atmospheric aerosols in Tucumán city result from both stationary and mobile sources such as: industrial activity of sugar cane and alcohol distilleries, paper industry, biomass burning (mainly sugarcane waste crop and grasslands), household waste burning and transport emissions. The peak of industrial activity is seasonal, coincident with the austral winter (July-August-September), when accumulation of particles in the lower atmosphere occurs. In this region, there are no studies like the present one that evaluate, using “in situ” equipment, the temporal variation of aerosols and its causes, by applying modern analytical techniques. A continuous volumetric and isokinetic sampler of Hirst type (Burkard), was used for atmospheric particle sampling, in weekly records between 2006 and 2013. The particle concentration (number of particles per cubic meter) showed an increasing trend in the studied period. The monthly variation of: the particle concentration; the aerosol optical thickness at a wavelength of 550 nm (AOD550) obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors onboard Aqua (NASA) satellite, and the AOD from different aerosol tracers (black and organic carbon, sea salt, sulfates, dust) obtained from the Modern-Era Retrospective Analysis for Research and Applications (MERRA-2), were also analyzed. The temporal variation in particle concentration was explained mostly by wind direction, while the corresponding variation for AOD550(MODIS) was explained by temperature and seasonality (as by-product of climatic variation and anthropogenic particle emission sources). The variation in the AOD550(MERRA-2) data series were explained by temperature, humidity, precipitation, and seasonality, with less effect of wind speed and direction. Particle concentration, AOD550(MODIS), and AOD550(MERRA-2) were highly variable. The cross-correlation between AOD550(MODIS) and AOD550(MERRA-2) time series was significantly positive at lag zero. Other contribution was the determination of the space-time distribution of aerosols on a monthly basis considering AOD550 MODIS (3 km × 3 km) data. The present study suggests that these variables are affected by temperature and wind dynamics driven by seasonal and high-order autoregressive non-linear processes.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
AIMS Environmental Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
REMOTE
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SENSING
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AIR
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POLLUTION
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SEASONALITY
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PARTICULATE
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MATTER
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QUANTIFICATION
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ENVIRONMENTAL
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MONITORING
dc.subject.classification
Meteorología y Ciencias Atmosféricas
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Satellite and ground atmospheric particulate matter detection over Tucuman city, Argentina, space-time distribution, climatic and seasonal variability
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-10-16T19:13:17Z
dc.journal.volume
5
dc.journal.number
3
dc.journal.pagination
173-194
dc.journal.pais
Estados Unidos
dc.journal.ciudad
New York
dc.description.fil
Fil: García, María E.. Laboratorio de Palinología; Argentina
dc.description.fil
Fil: Della Ceca, Lara Sofia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
dc.description.fil
Fil: Micheletti, Maria Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
dc.description.fil
Fil: Piacentini, Ruben Dario Narciso. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
dc.description.fil
Fil: Ordano, Mariano Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina
dc.description.fil
Fil: Reyes, Nora J. F.. Fundación Miguel Lillo; Argentina
dc.description.fil
Fil: Buedo, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina
dc.description.fil
Fil: González, Juan A.. Fundación Miguel Lillo; Argentina
dc.journal.title
AIMS Environmental Science
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.aimspress.com/article/10.3934/environsci.2018.3.173
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.3934/environsci.2018.3.173
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