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Using the source apportionment factors from Maciejczyk and Chen (2005), we have the following four source classes: SS, RS, RO, and MV.
Predicted versus observed results for total cells and LDH, respectively, are presented in Figure 6B and C. A second analysis using the source apportionment results again indicated that two components were sufficient to explain 77% of the overall variation in the predictors and 52% of the overall variation in the responses.
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The species profiles for sources in Norwalk and Waterbury slightly differed from profiles for the other sites because fewer components were used in the source apportionment.
We used UF and gaseous pollutants in the source apportionment, which clearly improved the results (Vallius et al. 2003).
Overall, however, although there are no gold standard correct answers for the source identification and apportionments in the real-world data sets considered in this workshop, the apportionment consistency in the largest PM2.5 source contributors across researchers in these cities, often using differing statistical methods, indicates reliability in the source apportionment approach.
Monthly and annual average concentrations of molecular markers in the source apportionment model showed lower sensitivity to source profiles than daily measurements, which has implications to the design of source apportionment studies.
In May 2003, the U.S. Environmental Protection Agency's Particulate Matter Centers Program sponsored the Workshop on the Source Apportionment of PM Health Effects.
A detailed description of the source apportionment results is presented in the Supplemental Material (doi 10.1289/ehp.1002638).
The source apportionment methodology and results have been previously published (Vallius et al. 2003).
Table 2 notes the source apportionment analyses performed on these data sets.
Keeping the health effects model consistent across the various source apportionment researchers and methods allowed a separate discernment of the extent to which variability in the source apportionment step contributed to variability in the ultimate health effects analyses results.
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