RECEPTOR MODELING FOR INHALABLE ATMOSPHERIC PARTICLES IN SAO-PAULO, BRAZIL

Aerosol samples were collected with stacked filter units (SFUs) at the Sao Paulo University Campus during the winter of 1989. The fine and c oarse filters of the SFU samples were analyzed by particle-induced X-r ay emission (PIXE) and the data were subjected to an absolute principa l component analysis (APCA) in order to identify the major aerosol sou rces and to apportion the particulate mass to these sources. Five sour ces were identified for the fine particles: industrial emissions, whic h accounted for 13% of the fine mass; emissions from residual oil and diesel, explaining 41%; resuspended soil dust, with 28%; and emissions of Cu and of Mg, with together 18% (these elements could not be attri buted to any specific source). For the coarse particles, four sources were identified: soil dust, accounting for 59% of the coarse mass; ind ustrial emissions, with 19%; oil burning, with 8%; and sea-salt aeroso l, with 14% of the coarse mass.