4.7 Article

Analysis of PM2.5 in Cordoba, Argentina under the effects of the El Nifio Southern Oscillation

Journal

ATMOSPHERIC ENVIRONMENT
Volume 171, Issue -, Pages 49-58

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2017.10.001

Keywords

Fine aerosol chemical speciation; Principal component analysis; Cordoba; Argentina; Carbonaceous particles

Funding

  1. CONICET (PIP) [1120120100004CO]
  2. SeCyT-UNC [05/C275]
  3. ANPCyT (PICT) [2014- 0876]
  4. CONICET

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In this work, PM2.5 samples were collected in the winter-spring months of 2014-2016 at an urban site in Cordoba. Cordoba is the second largest city in Argentina and is an important industrial and touristic center. The collected samples were individually analyzed for chemical composition using different techniques. The soluble inorganic ions and carbonaceous particles were determined from bulk aerosol samples for the first time in the city. The mass concentrations of PM2.5, organic carbon, elemental carbon, inorganic ions and metals were determined according to the mass balance. The dominant mass components were organic matter and elemental carbon (54.8%), mineral dust (6.1%), secondary inorganic aerosols (3.0%), and salt (1.2%). A principal component analysis was applied to the samples and resulted in five major factors that explained 79% of the variance in PM2.5. These factors represented combustion, industrial sources, soil dust, secondary inorganic aerosol, and salt, and each explained between 11% and 20% of the variance. A comparison with the results from a previous campaign (2010-2011) revealed appreciable changes in the PM2.5 chemical composition. These changes were attributed to the two extreme meteorological conditions that prevailed in the region. The years 2014-2016 were largely dominated by the warm phase of the El Nifio Southern Oscillation, which leads to humid and cold weather in the Cordoba region, while the samples from 2010 to 2011 were collected during the dry and hot years resulting from the La Nifia regime. (C) 2017 Elsevier Ltd. All rights reserved.

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