PM(2.5) Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model

Compiling fine-resolution geospatial PM(2.5) concentrations data is essential for precisely assessing the health risks of PM(2.5) pollution exposure as well as for evaluating environmental policy effectiveness. In most previous studies, global and local spatial heterogeneity of PM(2.5) is captured b...

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Detalles Bibliográficos
Autores principales: Zhang, Hang, Liu, Yong, Yang, Dongyang, Dong, Guanpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518430/
https://www.ncbi.nlm.nih.gov/pubmed/36078527
http://dx.doi.org/10.3390/ijerph191710811

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518430/
https://www.ncbi.nlm.nih.gov/pubmed/36078527
http://dx.doi.org/10.3390/ijerph191710811

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