Temporal and Spatial Heterogeneity of PM(2.5) Related to Meteorological and Socioeconomic Factors across China during 2000–2018

In recent years, air pollution caused by PM(2.5) in China has become increasingly severe. This study applied a Bayesian space–time hierarchy model to reveal the spatiotemporal heterogeneity of the PM(2.5) concentrations in China. In addition, the relationship between meteorological and socioeconomic...

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Detalles Bibliográficos
Autores principales: Zhang, Xiangxue, Cheng, Changxiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776067/
https://www.ncbi.nlm.nih.gov/pubmed/35055529
http://dx.doi.org/10.3390/ijerph19020707

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776067/
https://www.ncbi.nlm.nih.gov/pubmed/35055529
http://dx.doi.org/10.3390/ijerph19020707

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