Conditional UNet emulation of CMAQ simulations for fine particulate matter concentration prediction

Abstract Fine particulate matter (PM2.5) pollution poses significant health risks, necessitating accurate predictions for effective management measures for the mitigator of PM2.5. While the Community Multiscale Air Quality (CMAQ) model is widely utilized to simulate PM2.5 concentrations, its computa...

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Autores principales:	Yohan Lee, Junghyun Park, Jinseok Kim, Jung-Hun Woo, Jong-Hyeon Lee
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2025-11-01
Colección:	Scientific Reports
Materias:	PM2.5 concentration prediction CMAQ simulation Conditional U-Net Air quality management AI model
Acceso en línea:	https://doi.org/10.1038/s41598-025-22388-2
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