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Attribution of Black Carbon Variability in China (2000–2019) from a Perspective of Machine Learning

Substantial black carbon (BC) emissions in China have raised serious concerns owing to their significant influence on climate change and health. However, knowledge around the relative contributions of emissions and meteorological conditions to BC dynamics is limited but essential for air pollution m...

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Principais autores: Ruonan Fan, Yingying Ma, Shikuan Jin, Boming Liu, Yunduan Li, Wei Gong
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-12-01
coleção:Atmosphere
Assuntos:
black carbon
de-weather method
emission
machine learning
meteorology
Acesso em linha:https://www.mdpi.com/2073-4433/16/12/1378
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