Improving PM(2.5) predictions during COVID-19 lockdown by assimilating multi-source observations and adjusting emissions()

The Coronavirus Disease 2019 (COVID-19) outbreak caused a suspension of almost all non-essential human activities, leading to a significant reduction of anthropogenic emissions. However, the emission inventory of the chemistry transport model cannot be updated in time, resulting in large uncertainty...

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Detalles Bibliográficos
Autores principales: Chen, Liuzhu, Mao, Feiyue, Hong, Jia, Zang, Lin, Chen, Jiangping, Zhang, Yi, Gan, Yuan, Gong, Wei, Xu, Houyou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717716/
https://www.ncbi.nlm.nih.gov/pubmed/34974086
http://dx.doi.org/10.1016/j.envpol.2021.118783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717716/
https://www.ncbi.nlm.nih.gov/pubmed/34974086
http://dx.doi.org/10.1016/j.envpol.2021.118783

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