What is it about?

Our approach combines a simple, physics-based Gaussian plume model—suitable for flat regions—with a deep neural network that corrects the Gaussian model’s prediction errors. In contrast, more efficient physical models may lack sufficient accuracy over complex terrain.

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This page is a summary of: Hybrid modeling of atmospheric pollutant spread, IFAC-PapersOnLine, January 2025, Elsevier,
DOI: 10.1016/j.ifacol.2025.12.066.
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