Dataset Information

2002-2017 anthropogenic emissions data for air quality modeling over the United States.

ABSTRACT: The United States Environmental Protection Agency (US EPA) has developed a set of annual North American emissions data for multiple air pollutants across 18 broad source categories for 2002 through 2017. The sixteen new annual emissions inventories were developed using consistent input data and methods across all years. When a consistent method or tool was not available for a source category, emissions were estimated by scaling data from the EPA's 2017 National Emissions Inventory with scaling factors based on activity data and/or emissions control information. The emissions datasets are designed to support regional air quality modeling for a wide variety of human health and ecological applications. The data were developed to support simulations of the EPA's Community Multiscale Air Quality model but can also be used by other regional scale air quality models. The emissions data are one component of EPA's Air Quality Time Series Project which also includes air quality modeling inputs (meteorology, initial conditions, boundary conditions) and outputs (e.g., ozone, PM_2.5 and constituent species, wet and dry deposition) for the Conterminous US at a 12 km horizontal grid spacing.

SUBMITTER: Foley KM

PROVIDER: S-EPMC10023994 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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2002-2017 anthropogenic emissions data for air quality modeling over the United States.

Foley Kristen M KM Pouliot George A GA Eyth Alison A Aldridge Michael F MF Allen Christine C Appel K Wyat KW Bash Jesse O JO Beardsley Megan M Beidler James J Choi David D Farkas Caroline C Gilliam Robert C RC Godfrey Janice J Henderson Barron H BH Hogrefe Christian C Koplitz Shannon N SN Mason Rich R Mathur Rohit R Misenis Chris C Possiel Norm N Pye Havala O T HOT Reynolds Lara L Roark Matthew M Roberts Sarah S Schwede Donna B DB Seltzer Karl M KM Sonntag Darrell D Talgo Kevin K Toro Claudia C Vukovich Jeff J Xing Jia J Adams Elizabeth E

Data in brief 20230302

The United States Environmental Protection Agency (US EPA) has developed a set of annual North American emissions data for multiple air pollutants across 18 broad source categories for 2002 through 2017. The sixteen new annual emissions inventories were developed using consistent input data and methods across all years. When a consistent method or tool was not available for a source category, emissions were estimated by scaling data from the EPA's 2017 National Emissions Inventory with scaling f ...[more]

PMID: 36942100

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Project description:Exposure to vehicular emissions has been linked to numerous adverse health effects. In response to the arising concerns, near-road monitoring is conducted to better characterize the impact of mobile source emissions on air quality and exposure in the near-road environment. An intensive measurement campaign measured traffic-related air pollutants (TRAPs) and related data (e.g., meteorology, traffic, regional air pollutant levels) in Atlanta, along one of the busiest highway corridors in the US. Given the complexity of the near-road environment, the study aimed to compare two near-road monitors, located in close proximity to each other, to assess how observed similarities and differences between measurements at these two sites inform the siting of other near-road monitoring stations. TRAP measurements, including carbon monoxide (CO) and nitrogen dioxide (NO2), are analyzed at two roadside monitors in Atlanta, GA located within 325m of each other. Both meteorological and traffic conditions were monitored to assess the temporal impact of these factors on traffic-related pollutant concentrations. The meteorological factors drove the diurnal variability of primary pollutant concentration more than traffic count. In spite of their proximity, while the CO and NO2 concentrations were correlated with similar diurnal variations, pollutant concentrations at the two closely sited monitors differed, likely due to the differences in the siting characteristics reducing the dispersion of the primary emissions out of the near-road environment. Overall, the near-road TRAP concentrations at all sites were not as elevated as seen in prior studies, supporting that decreased vehicle emissions have led to significant reductions in TRAP levels, even along major interstates. Further, the differences in the observed levels show that use of single near-road observations will not capture pollutant levels representative of the local near-road environment and that additional approaches (e.g., air quality models) are needed to characterize exposures.

Dataset Information

2002-2017 anthropogenic emissions data for air quality modeling over the United States.

Publications

2002-2017 anthropogenic emissions data for air quality modeling over the United States.

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