A Machine Learning Approach for High-Resolution Modeling and Apportionment of Black Carbon Concentrations in an Impacted Community
Sofia D. Hamilton,
Robert A. Harley
Abstract:High spatial resolution is needed in air quality models
to resolve
near-source gradients in primary air pollutant concentrations. Models
that are used to support analyses of chronic exposure to air pollution
also need to be run over long time scales (i.e., seasonal to annual).
The resulting applications of Eulerian (grid-based) air quality models
at high spatial resolution and over long time periods are computationally
expensive due to the large number of computational cells and the small
model timestep that m… Show more
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