Cargando…
Network Analysis of Fine Particulate Matter (PM(2.5)) Emissions in China
Specification of PM(2.5) spatial and temporal characteristics is important for understanding PM(2.5) adverse effects and policymaking. We applied network analysis to studying the dataset MIX, which contains PM(2.5) emissions recorded from 2168 monitoring stations in China in 2008 and 2010. The resul...
Autores principales: | Yan, Shaomin, Wu, Guang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016853/ https://www.ncbi.nlm.nih.gov/pubmed/27608625 http://dx.doi.org/10.1038/srep33227 |
Ejemplares similares
-
Fine particulate matter (PM(2.5)) in China at a city level
por: Zhang, Yan-Lin, et al.
Publicado: (2015) -
Higher-order Network Analysis of Fine Particulate Matter (PM(2.5)) Transport in China at City Level
por: Wang, Yufang, et al.
Publicado: (2017) -
Fine particulate matter (PM(2.5)): The culprit for chronic lung diseases in China
por: Li, Tao, et al.
Publicado: (2018) -
Characteristics of fine particulate matter (PM(2.5)) at Jinsha Site Museum, Chengdu, China
por: Deng, Jialin, et al.
Publicado: (2021) -
A Study on the Design Method of Indoor Fine Particulate Matter (PM2.5) Pollution Control in China
por: Wang, Qingqin, et al.
Publicado: (2019)