Emissions inventories of fine particulate matter (PM 2.5 ) were compared with estimates of emissions based on data emerging from U.S. Environment Protection Agency Particulate Matter Supersites and other field programs. Six source categories for PM 2.5 emissions were reviewed: onroad mobile sources, nonroad mobile sources, cooking, biomass combustion, fugitive dust, and stationary sources. Ammonia emissions from all of the source categories were also examined. Regional emissions inventories of PM in the exhaust from on-road and nonroad sources were generally consistent with ambient observations, though uncertainties in some emission factors were twice as large as the emission factors. In contrast, emissions inventories of road dust were up to an order of magnitude larger than ambient observations, and estimated brake wear and tire dust emissions were half as large as ambient observations in urban areas. Although comprehensive nationwide emissions inventories of PM 2.5 from cooking sources and biomass burning are not yet available, observational data in urban areas suggest that cooking sources account for approximately 5-20% of total primary emissions (excluding dust), and biomass burning sources are highly dependent on region. Finally, relatively few observational data were available to assess the accuracy of emission estimates for stationary sources. Overall, the uncertainties in primary emissions for PM 2.5 are substantial. Similar uncertainties exist for ammonia emissions. Because of these uncertainties, the design of PM 2.5 control strategies should be based on inventories that have been refined by a combination of bottom-up and top-down methods.
INTRODUCTIONEmissions inventories can be used to establish statewide and nationwide trends in air quality or to prioritize emission sources in specific geographical areas. They can also be used as inputs to models used to predict ambient air quality on specific days. The temporal resolution of the emissions inventory depends on the purpose of the inventory. Emissions inventories that are used to establish air quality trends at regional or national scales need only have information about average emission rates. However, emissions inventories that will be used in models that predict air quality on specific days or that are used to predict the likelihood of extremes in air pollutant concentrations must consider both average emission rates and daily variability in emissions.The goal of this review is to assess the accuracy of emissions inventories of fine particulate matter (PM; PM Ͻ2.5 m in aerodynamic diameter [PM 2.5 ]) and one of its precursors, ammonia. Precursors of secondary PM 2.5 include ammonia, nitrogen oxides, sulfur dioxide, and hydrocarbons (HCs). Of these PM 2.5 precursors, this review addresses only ammonia, because the emissions inventories for nitrogen oxides and sulfur dioxide are reasonably accurate, and the uncertainties in the HC emissions inventory merit a separate review. Ambient observations of PM 2.5 mass and composition are compared wi...