Satellite and ground atmospheric particulate matter detection over Tucuman city, Argentina, space-time distribution, climatic and seasonal variability

Autor: Sebastián E. Buedo, Rubén D. Piacentini, María E. García, Nora J. F. Reyes, Juan A. González, Lara Sofia Della Ceca, Mariano Andrés Ordano, M. I. Micheletti
Jazyk: angličtina
Rok vydání: 2018
Předmět:
particulate matter quantification
food.ingredient
010504 meteorology & atmospheric sciences
Particle number
SENSING
air pollution
PARTICULATE
010501 environmental sciences
Atmospheric sciences
01 natural sciences
Wind speed
Ciencias de la Tierra y relacionadas con el Medio Ambiente
Atmosphere
purl.org/becyt/ford/1 [https]
purl.org/becyt/ford/1.5 [https]
food
POLLUTION
medicine
MONITORING
lcsh:Environmental sciences
0105 earth and related environmental sciences
General Environmental Science
environmental monitoring
lcsh:GE1-350
seasonality
Sea salt
AIR
Wind direction
Seasonality
Remote sensing
QUANTIFICATION
medicine.disease
ENVIRONMENTAL
Aerosol
SEASONALITY
Environmental science
Moderate-resolution imaging spectroradiometer
REMOTE
Meteorología y Ciencias Atmosféricas
MATTER
CIENCIAS NATURALES Y EXACTAS
Zdroj: AIMS Environmental Science, Vol 5, Iss 3, Pp 173-194 (2018)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
DOI: 10.3934/environsci.2018.3.173
Popis: 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. Fil: García, María E.. Laboratorio de Palinología; Argentina 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 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 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 Fil: Ordano, Mariano Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina Fil: Reyes, Nora J. F.. Fundación Miguel Lillo; Argentina Fil: Buedo, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina Fil: González, Juan A.. Fundación Miguel Lillo; Argentina
Databáze: OpenAIRE