Uncertainty assessment of PM(2.5) contamination mapping using spatiotemporal sequential indicator simulations and multi-temporal monitoring data

Because of the rapid economic growth in China, many regions are subjected to severe particulate matter pollution. Thus, improving the methods of determining the spatiotemporal distribution and uncertainty of air pollution can provide considerable benefits when developing risk assessments and environ...

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Detalles Bibliográficos
Autores principales: Yang, Yong, Christakos, George, Huang, Wei, Lin, Chengda, Fu, Peihong, Mei, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828716/
https://www.ncbi.nlm.nih.gov/pubmed/27067017
http://dx.doi.org/10.1038/srep24335

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828716/
https://www.ncbi.nlm.nih.gov/pubmed/27067017
http://dx.doi.org/10.1038/srep24335

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