Individual particle analysis combined with cluster analysis of airborne particulates collected beside a roadway was performed to make a source apportionment . We collected 12 samples using a low volume air sampler (L samples) and 6 samples using an Andersen air sampler (A samples), during December 11-12, 1989 ; at a site situated at 3 m from a highway in Tokyo, Japan. All L samples and one A sample (A1-A8 fractions) collected from 3 p. m. to p. m., were analyzed by an electron probe micro analyzer (EPMA). Al to A8 fractions were collected on the 1st stage to 8th stage and the fraction BF was collected on the backfilter of the Andersen sampler, respectively. Their aerodynamic sizes were >11 pm, 7-11 pm, 4.7-7 pm, 3.3-4 .7 pm, 2.1-3.3 pm, 1. 1-2.1 p m, 0.65-1.1 p m, 0.43-0.65 p m, and <0.43 p m, respectively. Cluster analysis was performed on the compositional data of 100 particles in each of Al-A8 fractions and L samples. The results of source apportionment from A sample showed that the fractions of particle size >2.1 pm had more (1) tire dusts and (2) soil minerals ; and the fractions of particle size <2.1 pm had more (3) motor exhaust soot ; particles mainly containing (4) iron, (5) calcium, (6) silicon or (7) sea salt were also detected . The contributions of the seven sources described above were 22 .6, 8.4, 46.3, 7.4, 2.8, 1.6, and 3.4 by weight percent. From the results of the L samples, the one-hour interval variations of the mass concentrations of the 7 sources described above were obtained . The contribution of soot showed clear correlation with the percentage of diesel vehicles in the traffic. From these examples we can conclude that source apportionment of airborne particulates by this method is effective and practically useful. The monitoring of airborne particulates from any source can be performed even its contribution is very small in the total mass.
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