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These methodological issues range from the initial sampling design to the interpretation of the final apportionment results.
Built upon outputs from a state-of-the-art air quality model, our model produces comprehensive risk-based source apportionment results with trivial computational costs.
We examined the impact of USA and Chinese mobile source profiles on source apportionment results in St .Louis, Missouri, and Beijing.
Thus, they are not suitable for implementation by network designers; (ii) although the resource apportionment results to be fair from the users' point of view, the achieved QoS may be much larger than demanded.
The results showed that the use of non-local mobile source profiles did not impact the model apportionment results for vegetative detritus and biomass burning, but other primary source contributions were influenced by the use of non-local source profiles.
A detailed description of the source apportionment results is presented in the Supplemental Material (doi 10.1289/ehp.1002638).
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The source apportionment resulted in detection of five sources (motor vehicle emissions, regional sulfur, oil combustion, dust, and sea salt) in Bridgeport, Danbury, Hartford, and New Haven.
These summations should be regarded as marginal influences due to a modest decrease in emissions (i.e., 10%) rather than total contributions (or apportionment) resulting from setting all emissions to zero and thus removing the total influence of each country.
An alternative approach, therefore, would be to conduct a sensitivity analysis of source-apportionment results, to mathematically identify and quantify the effect of each species on the apportionment process source-indicative tracers for a given local source (Marmur et al. 2006, 2007).
To this end, the various source apportionments' resulting mean mass contributions and estimated percent excess deaths per 5th- to 95th-percentile increment increase by source-apportioned PM2.5 were intercompared and then analyzed (within each city) by analysis of variance (ANOVA) and a GLM.
This approach provided directly comparable mortality effect estimates for each source category and for apportionment modeling results of participating groups.
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