Estimation of Ground PM(2.5) Concentrations using a DEM-assisted Information Diffusion Algorithm: A Case Study in China

When estimating national PM(2.5) concentrations, the results of traditional interpolation algorithms are unreliable due to a lack of monitoring sites and heterogeneous spatial distributions. PM(2.5) spatial distribution is strongly correlated to elevation, and the information diffusion algorithm has...

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Detalles Bibliográficos
Autores principales: Ma, Lei, Gao, Yu, Fu, Tengyu, Cheng, Liang, Chen, Zhenjie, Li, Manchun
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/PMC5686213/
https://www.ncbi.nlm.nih.gov/pubmed/29138390
http://dx.doi.org/10.1038/s41598-017-14197-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686213/
https://www.ncbi.nlm.nih.gov/pubmed/29138390
http://dx.doi.org/10.1038/s41598-017-14197-z

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