Machine learning driven by environmental covariates to estimate high-resolution PM2.5 in data-poor regions

PM(2.5), which refers to fine particles with an equivalent aerodynamic diameter of less than or equal to 2.5 µm, can not only affect air quality but also endanger public health. Nevertheless, the spatial distribution of PM(2.5) is not well understood in data-poor regions where monitoring stations ar...

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Detalles Bibliográficos
Autores principales: Jin, XiaoYe, Ding, Jianli, Ge, Xiangyu, Liu, Jie, Xie, Boqiang, Zhao, Shuang, Zhao, Qiaozhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Atmospheric Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976473/
https://www.ncbi.nlm.nih.gov/pubmed/35378927
http://dx.doi.org/10.7717/peerj.13203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976473/
https://www.ncbi.nlm.nih.gov/pubmed/35378927
http://dx.doi.org/10.7717/peerj.13203

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