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Improving satellite-based PM(2.5) estimates in China using Gaussian processes modeling in a Bayesian hierarchical setting

Using satellite-based aerosol optical depth (AOD) measurements and statistical models to estimate ground-level PM(2.5) is a promising way to fill the areas that are not covered by ground PM(2.5) monitors. The statistical models used in previous studies are primarily Linear Mixed Effects (LME) and Ge...

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Detalles Bibliográficos
Autores principales:	Yu, Wenxi, Liu, Yang, Ma, Zongwei, Bi, Jun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539114/ https://www.ncbi.nlm.nih.gov/pubmed/28765549 http://dx.doi.org/10.1038/s41598-017-07478-0

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