Sentence examples for apportionment approach from inspiring English sources

A receptor-based source apportionment approach utilizing positive matrix factorization (PMF) will be used to identify PM2.5 source contributions for each 24-h period.

One of the major considerations for applying the risk apportionment approach is the selection of appropriate risk factors and estimates of relative risks.

Using an organic tracer-based source apportionment approach, independently conducted research over the last five years provides increasing evidence that aromatic hydrocarbons in gasoline contribute, depending on the specific region, approximately 0.1 to 0.45 μg/m of PM [ 20- 23].

In the present study we used a hybrid factor analysis chemical mass balance source apportionment approach to accurately characterize and subsequently quantify road dust, in addition to other common urban sources.

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.

Thus, while the uncertainty added by the differences in source apportionments varies from source to source in these cases, the overall average increase is about 15%, which suggests that the error added by variability in source apportionment approach is quite small relative to the baseline uncertainty inherently associated with making these time-series pollution RR estimates.

Consequently, source apportionment approaches may be limited in their ability to identify individual toxic pollutants.

As noted in Table 1, research groups from seven institutions, using various source apportionment approaches, participated in this workshop.

This could relate to uncertainties in source apportionment approaches or measures of constituents, the range of sources for each constituent, and variation in measurement quality.

To address these concerns, studies have examined the risks associated with multiple pollutants using source apportionment approaches (Sarnat et al. 2008; Thurston et al. 2005).

In a reanalysis of data from the Harvard Six Cities study of daily mortality and PM, source apportionment approaches identified the mobile source factor as most strongly associated with increased daily mortality (Laden et al. 2000).