Combining Satellite-Derived PM_2.5 Data and a Reduced-Form Air Quality Model to Support Air Quality Analysis in US Cities.

ABSTRACT: Air quality models can support pollution mitigation design by simulating policy scenarios and conducting source contribution analyses. The Intervention Model for Air Pollution (InMAP) is a powerful tool for equitable policy design as its variable resolution grid enables intra-urban analysis, the scale of which most environmental justice inquiries are levied. However, InMAP underestimates particulate sulfate and overestimates particulate ammonium formation, errors that limit the model's relevance to city-scale decision-making. To reduce InMAP's biases and increase its relevancy for urban-scale analysis, we calculate and apply scaling factors (SFs) based on observational data and advanced models. We consider both satellite-derived speciated PM_2.5 from Washington University and gro

SUBMITTER: Gallagher CL 

PROVIDER: S-EPMC10169548 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature