Sentence examples for air dispersion modeling from inspiring English sources
Both the exposure properties and half-life make ethylene glycol monobutyl ether an appropriate pollutant for air dispersion modeling.
Therefore, we obtained a sample of 32 airports for this study, which balanced the need for a large enough sample size for regression analysis with the limitation on computational capacity for air dispersion modeling.
One study used central monitors combined with air dispersion modeling to predict levels of PM10 (particulates < 10 μm in aerodynamic diameter), NO2, sulfur dioxide (SO2), and ozone at the postal code level closest to residence but found no association with CRP Forbess et al. 2009).
In this paper, we introduce a population exposure modeling system that integrates air dispersion modeling, Geographic Information Systems (GIS), and population exposure techniques to spatially characterize a source-specific exposure to ambient air pollution for an entire urban population at a fine geographical scale.
The use of air dispersion modeling as the exposure assessment method is described in Hodgson et al. (2007).
Air dispersion modeling and deposition were used to characterize cumulative potential asbestos background exposure for this population (Kelly et al. 2006; MDH 2005).
We estimated cumulative asbestos exposure (fibers per cubic centimeters × months) with air dispersion model data and activity-based modeled exposure estimates for vermiculite processing waste contact.
Spatially, pesticide air dispersion models estimate postapplication, off-field dispersal of ≤1 km (0.62 miles) after single applications of pesticides to specific agricultural fields (Raupach et al. 2001; Watanabe 2000).
Soil concentrations were compared to ground level air As concentrations predicted by an air dispersion model.
These data indicate an increasing use of monitoring, and use of air dispersion modelling by English local authorities.
Comparison of results from a previous air dispersion model of ground level air arsenic concentrations showed a moderate correlation (r = 0.6) between modelled and measured values.
