TopoFlow: Topography-aware Pollutant Flow Learning for High-Resolution Air Quality Prediction

ArXi:2602.16821v2 Announce Type: replace We propose TopoFlow (Topography-aware pollutant Flow learning), a physics-guided neural network for efficient, high-resolution air quality prediction. To explicitly embed physical processes into the learning framework, we identify two critical factors governing pollutant dynamics: topography and wind direction. Complex terrain can channel, block, and trap pollutants, while wind acts as a primary driver of their transport and dispersion.