Sentence examples for pollution variation from inspiring English sources

We report GIS-based methods for systematically allocating monitors across locally-specific pollution source and topography profiles, and address challenges of distinguishing spatial and temporal components of local pollution variation in different pollutants by comparing two temporal adjustment approaches.

Ideally, this issue should be addressed by considering pollution variation within local economies and very detailed data on local economic conditions, both of which we do not possess.

27 A few studies have reported an association between spatial air pollution variation and pre-eclampsia.

It would be possible to look at the effects of air pollution variation in the shorter term as well.

Models were developed in two stages using different predictor variables and methodology to capture background, regional, and local-scale pollution variation.

Conclusions: The national pollutant models created here improve exposure assessment compared with traditional monitor-based approaches by capturing both regional and local-scale pollution variation.

Thus, in addition to using the LUR annual average ("unseasonalized") estimates, we also generated "seasonalized" estimates to incorporate yearly and monthly air pollution variations.

Thus, in addition to using the LUR annual average ("unseasonalized") estimates, we also created "seasonalized" LUR measures using government monitoring station measurements nearest to home locations to incorporate yearly and monthly air pollution variations.

Thus, in addition to using these unseasonalized estimates, we also created seasonalized LUR measures using government monitoring station measurements nearest to home locations to incorporate yearly and monthly air pollution variations.

Since the 1990s, a number of studies have shown that daily pollution variations in urban ambient air are associated with an increase in mortality even when the fluctuations are below international standards [ 1, 2].

Exposure assessment methods have evolved from self-reported measures (e.g., proximity) (Janssen et al. 2003) to atmospheric dispersion (Oftedal et al. 2007) and land use regression (LUR) models capturing within-city air pollution variations (Brauer et al. 2007; Gehring et al. 2010).