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@Article{QuijanoMatSaiBotGio:2019:ExCoAn,
               author = "Quijano, Maria Fernanda C. and Mateus, Vin{\'{\i}}cius Lionel 
                         and Saint'Pierre, Tatiana D. and Bott, I. S. and Gioda, Adriana",
          affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro 
                         (PUC-Rio)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de 
                         Janeiro (PUC-Rio)} and {Pontif{\'{\i}}cia Universidade 
                         Cat{\'o}lica do Rio de Janeiro (PUC-Rio)} and 
                         {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro 
                         (PUC-Rio)}",
                title = "Exploratory and comparative analysis of the morphology and 
                         chemical composition of PM 2.5 from regions with different 
                         socioeconomic characteristics",
              journal = "Microchemical Journal",
                 year = "2019",
               volume = "147",
                pages = "507--515",
                month = "June",
             keywords = "SEM-EDS, CI, ICP-MS, PM2.5, HYSPLIT, Ultraviolet aerosol index.",
             abstract = "Chemical and physical properties of fine particulate matter (PM 
                         2.5 ) are related to emission sources. In order to determine 
                         chemical and physical differences, PM 2.5 samples were collected 
                         at urban, rural and industrial areas of the metropolitan region of 
                         Rio de Janeiro (MRRJ), Brazil. The chemical characterization of 
                         the samples was performed using ion chromatography (IC) and 
                         inductively coupled plasma mass spectrometry (ICP-MS), while the 
                         physical characterization was done by scanning electron 
                         microscopyenergy dispersive spectrometry (SEM-EDS). Through the 
                         use the Hybrid Single-Particle Lagrangian Integrated Trajectories 
                         (HYSPLIT) model, it was observed that all the studied sites 
                         presented the influence of ocean air masses. The industrial and 
                         rural sites showed to influence of continental air masses too, 
                         that carried aerosols with greater UV absorption compared to those 
                         observed in trajectories originating in the Atlantic Ocean. Among 
                         analyzed species, NO 3 \− and SO 4 2\− ions and V, 
                         Pb and Sn elements were predominant in the urban site whereas in 
                         the rural and industrial sites Na + , SO 4 2\− were the 
                         major ions and Na, Zn and Ba were the elements with the higher 
                         concentrations. Through SEM-EDS analysis, the particles were 
                         classified into two categories, the first in terms of the 
                         morphological similarities and the second in function of the 
                         elemental composition. As observed in ICP-MS analysis, the 
                         elements K, Al, Ca, Fe, Cu, Zn, Ba and Mg were detected also in 
                         the individual particles analysis by SEM-EDS. These results showed 
                         that C, O and Si were predominant elements at all sites. The 
                         morphological and chemical analyses indicate that the influence of 
                         vehicular emissions as a common source at all sites. The analyses 
                         also showed that the urban sites present particles with more 
                         diverse morphologies compared to rural and industrial sites.",
                  doi = "10.1016/j.microc.2019.03.071",
                  url = "http://dx.doi.org/10.1016/j.microc.2019.03.071",
                 issn = "0026-265X",
             language = "en",
           targetfile = "quijano_exploratory.pdf",
        urlaccessdate = "29 nov. 2020"
}


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