Highlights Gaussian dispersion models to capture near-road pollutant dispersion are compared. The Idaho Falls and Caltrans Highway 99 tracer studies are used in the comparison. Estimated downwind concentrations are mostly within a factor of two of observations. RLINE, ADMS, and AERMOD performed similarly, while CALINE 3 and 4 had more scatter .
Abstract A model inter-comparison study to assess the abilities of steady-state Gaussian dispersion models to capture near-road pollutant dispersion has been carried out with four models (AERMOD, run with both the area-source and volume-source options to represent roadways, CALINE, versions 3 and 4, ADMS and RLINE). Two field tracer studies are used: the Idaho Falls tracer study and the Caltrans Highway 99 tracer study. Model performance measures are calculated using concentrations (observed and estimated) that are paired in time and space, since many of the health related questions involve outcomes associated with spatially and temporally distributed human activities. All four models showed an ability to estimate the majority of downwind concentrations within a factor of two of the observations. RLINE, AERMOD-V, and ADMS, also have the capability to predict concentrations upwind of the roadway that result from low-speed meandering of the plume. Generally, RLINE, ADMS, and AERMOD (both source types) had overall performance statistics that were broadly similar, while CALINE 3 and 4 both produced a larger degree of scatter in their concentration estimates. The models performed best for near-neutral conditions in both tracer studies, but had mixed results under convective and stable conditions.
Estimating near-road pollutant dispersion: A model inter-comparison
2013-01-01
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Estimating near-road pollutant dispersion: A model inter-comparison
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