Analysis of atmospheric aerosol (PM2.5) in Recife city, Brazil

J Air Waste Manag Assoc. 2014 May;64(5):519-28. doi: 10.1080/10962247.2013.854282.

Abstract

Several studies indicate that mortality and morbidity can be well correlated to atmospheric aerosol concentrations with aerodynamic diameter less than 2.5 microm (PM2.5). In this work the PM2.5 at Recife city was analyzed as part of a main research project (INAIRA) to evaluate the air pollution impact on human health in six Brazilian metropolitan areas. The average concentration, for 309 samples (24-hr), from June 2007 to July 2008, was 7.3 microg/m3, with an average of 1.1 microg/m3 of black carbon. The elemental concentrations of samples were obtained by x-ray fluorescence. The concentrations were then used for characterizing the aerosol, and also were employed for receptor modelling to identify the major local sources of PM2.5. Positive matrix factorization analysis indicated six main factors, with four being associated to soil dust, vehicles and sea spray, metallurgical activities, and biomass burning, while for a chlorine factor, and others related to S, Ca, Br, and Na, we could make no specific source association. Principal component analysis also indicated six dominant factors, with some specific characteristics. Four factors were associated to soil dust, vehicles, biomass burning, and sea spray, while for the two others, a chlorine- and copper-related factor and a nickel-related factor, it was not possible to do a specific source association. The association of the factors to the likely sources was possible thanks to meteorological analysis and sources information. Each model, although giving similar results, showed factors' peculiarities, especially for source apportionment. The observed PM2.5 concentration levels were acceptable, notwithstanding the high urbanization of the metropolitan area, probably due to favorable conditions for air pollution dispersion. More than a valuable historical register these results should be very important for the next analysis, which will correlate health data, PM2.5 levels, and sources contributions in the context of the six studied Brazilian metropolises.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aerosols / chemistry*
  • Air Pollutants / chemistry*
  • Brazil
  • Humans
  • Time Factors
  • Weather

Substances

  • Aerosols
  • Air Pollutants