Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO2 and PM2.5 over the Beijing area using Generalized Additive Models (GAM)

Unprecedented travel restrictions due to the COVID-19 pandemic caused remarkable reductions in anthropogenic emissions, however, the Beijing area still experienced extreme haze pollution even under the strict COVID-19 controls. Generalized Additive Models (GAM) were developed with respect to inter-a...

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Veröffentlicht in:	Journal of environmental management 2021-08, Vol.291, p.112676-112676, Article 112676
Hauptverfasser:	Hua, Jinxi, Zhang, Yuanxun, de Foy, Benjamin, Shang, Jing, Schauer, James J., Mei, Xiaodong, Sulaymon, Ishaq Dimeji, Han, Tingting
Format:	Artikel
Sprache:	eng
Schlagworte:	COVID-19 lockdown Diurnal profiles GAM analysis meteorology Spatial patterns
Online-Zugang:	Volltext
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