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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Bibliografische Detailangaben

Hauptverfasser:	Yohan Lee, Junghyun Park, Jinseok Kim, Jung-Hun Woo, Jong-Hyeon Lee
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-11-01
Schriftenreihe:	Scientific Reports
Schlagworte:	PM2.5 concentration prediction CMAQ simulation Conditional U-Net Air quality management AI model
Online-Zugang:	https://doi.org/10.1038/s41598-025-22388-2
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