A grid-free deep learning model predicts high-resolution surface PM2.5 concentrations in near real time by combining sparse EPA station data with topographic, meteorological, and land-use inputs.
Environmental Protection Agency: National ambient air quality standards (NAAQS)
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Ground-Level Near Real-Time Modeling for PM2.5 Pollution Prediction
A grid-free deep learning model predicts high-resolution surface PM2.5 concentrations in near real time by combining sparse EPA station data with topographic, meteorological, and land-use inputs.