Abstract: Many countries perform national air quality assessments using grid-based numerical air dispersion models, generally referred to as ‘regional’ models. Advantages of these models include the ability to use temporally and spatially varying meteorology and model chemical reactions over large temporal and spatial scales. These models usually perform reasonably well against rural and urban background monitors, but predictions at roadside monitors are underestimated. City-scale air dispersion models have been developed to give high spatial resolut...
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