Intercomparison of Modeled Urban-Scale Vehicle NO_<i>x</i> and PM_2.5 Emissions-Implications for Equity Assessments.

ABSTRACT: Accurate characterization of emissions is essential for understanding spatiotemporal variations of air pollutants and their societal impacts, including population exposure, health outcomes, and environmental justice implications. Characterizing emissions from the transportation sector is challenging due to uncertainties in emission-producing processes and in fleet composition and activity-factors that lead to differences across modeled vehicle emissions data sets. Here, we compare four data sets─Fuel-Inventory Vehicle Emissions, Neighborhood Emission Mapping Operation, Lake Michigan Air Director Consortium-Northwestern University, and University of Vermont─over the Greater Chicago region at three shared spatial resolutions (1.0, 1.3, and 4 km²). While domain-level data set agree

SUBMITTER: Lang VA 

PROVIDER: S-EPMC11912330 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature