Optimal Planning of Air Quality-Monitoring Sites for Better Depiction of PM(2.5) Pollution across China

[Image: see text] A myriad of studies have attempted to use ground-level observations to obtain gap-free spatiotemporal variations of PM(2.5), in support of air quality management and impact studies. Statistical methods (machine learning, etc.) or numerical methods by combining chemical transport mo...

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Detalles Bibliográficos
Autores principales: Zhou, Chenhong, Gao, Meng, Li, Jianjun, Bai, Kaixu, Tang, Xiao, Lu, Xiao, Liu, Cheng, Wang, Zifa, Guo, Yike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125350/
https://www.ncbi.nlm.nih.gov/pubmed/37101966
http://dx.doi.org/10.1021/acsenvironau.1c00051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125350/
https://www.ncbi.nlm.nih.gov/pubmed/37101966
http://dx.doi.org/10.1021/acsenvironau.1c00051

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