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Four-dimensional data assimilation applied to photochemical air quality modeling is used to suggest adjustments to the emissions inventory of the Atlanta, Georgia metropolitan area. In this approach, a three-dimensional air quality model, coupled with direct sensitivity analysis, develops spatially and temporally varying concentration and sensitivity fields that account for chemical and physical processing,...
In this paper, we expand upon established uncertainty analysis techniques to demonstrate a general method for assessing variability and uncertainty in Gaussian air pollutant dispersion modeling systems. To illustrate this method, we estimated variability and uncertainty in predicted hexavalent chromium concentrations generated by welding operations at a shipbuilding and repair facility in California...
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