title: Air quality modeling of hazardous pollutants: current status and future directions.
abstract: The current requirements and status of air quality modeling of hazardous pollutants are reviewed. Many applications require the ability to predict the local impacts from industrial sources or large roadways as needed for community health characterization and evaluating environmental justice concerns. Such local-scale modeling assessments can be performed by using Gaussian dispersion models. However, these models have a limited ability to handle chemical transformations. A new generation of Eulerian grid-based models is now capable of comprehensively treating transport and chemical transformations of air toxics. However, they typically have coarse spatial resolution, and their computational requirements increase dramatically with finer spatial resolution. The authors present and discuss possible advanced approaches that can combine the grid-based models with local-scale information.
authors.affiliation: National Oceanic and Atmospheric Administration/Atmospheric Sciences Modeling Division, Research Triangle Park, NC 27711, USA. Touma.Joe@epa.gov
authors.forename: Jawad S
authors.initials: JS
authors.lastname: Touma
authors.forename: Vlad
authors.initials: V
authors.lastname: Isakov
authors.forename: Jason
authors.initials: J
authors.lastname: Ching
authors.forename: Christian
authors.initials: C
authors.lastname: Seigneur
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000032:analysis; D004784:Environmental Monitoring; D015386:Hazardous Substances / Q000032:analysis; D008962:Models, Theoretical; D035501:Uncertainty
chemical_list: D000393:Air Pollutants; D015386:Hazardous Substances