Estimating near-road pollutant dispersion: A model inter-comparison
作者： David Heist , Vlad Isakov , Steven Perry , Michelle Snyder , Akula Venkatram
DOI: 10.1016/J.TRD.2013.09.003
关键词:
摘要: A model inter-comparison study to assess the abilities of steady-state Gaussian dispersion models capture near-road pollutant has been carried out with four (AERMOD, run both area-source and volume-source options represent roadways, CALINE, versions 3 4, ADMS RLINE). Two field tracer studies are used: Idaho Falls Caltrans Highway 99 study. Model performance measures calculated using concentrations (observed estimated) that paired in time space, since many health related questions involve outcomes associated spatially temporally distributed human activities. All showed an ability estimate majority downwind within a factor two observations. RLINE, AERMOD-V, ADMS, also have capability predict upwind roadway result from low-speed meandering plume. Generally, AERMOD (both source types) had overall statistics were broadly similar, while CALINE 4 produced larger degree scatter their concentration estimates. The performed best for near-neutral conditions studies, but mixed results under convective stable conditions.
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