Ground Level PM(2.5) Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO(2) and Enhanced Vegetation Index (EVI)

Highly accurate data on the spatial distribution of ambient fine particulate matter (<2.5 μm: PM(2.5)) is currently quite limited in China. By introducing NO(2) and Enhanced Vegetation Index (EVI) into the Geographically Weighted Regression (GWR) model, a newly developed GWR model combined with a...

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Detalles Bibliográficos
Autores principales: Zhang, Tianhao, Gong, Wei, Wang, Wei, Ji, Yuxi, Zhu, Zhongmin, Huang, Yusi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5201356/
https://www.ncbi.nlm.nih.gov/pubmed/27941628
http://dx.doi.org/10.3390/ijerph13121215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5201356/
https://www.ncbi.nlm.nih.gov/pubmed/27941628
http://dx.doi.org/10.3390/ijerph13121215

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