An updated modeling framework to simulate Los Angeles air quality - Part 1: Model development, evaluation, and source apportionment.

ABSTRACT: This study describes a modeling framework, model evaluation, and source apportionment to understand the causes of Los Angeles (LA) air pollution. A few major updates are applied to the Community Multiscale Air Quality (CMAQ) model with a high spatial resolution (1 km × 1 km). The updates include dynamic traffic emissions based on real-time, on-road information and recent emission factors and secondary organic aerosol (SOA) schemes to represent volatile chemical products (VCPs). Meteorology is well predicted compared to ground-based observations, and the emission rates from multiple sources (i.e., on-road, volatile chemical products, area, point, biogenic, and sea spray) are quantified. Evaluation of the CMAQ model shows that ozone is well predicted despite inaccuracies in nitrogen oxide (N

SUBMITTER: Pennington EA 

PROVIDER: S-EPMC11492966 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature