Spatial distribution characteristics of PM(2.5) and PM(10) in Xi’an City predicted by land use regression models

PM(2.5) and PM(10) could increase the risk for cardiovascular and respiratory diseases in the general public and severely limit the sustainable development in urban areas. Land use regression models are effective in predicting the spatial distribution of atmospheric pollutants, and have been widely...

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Detalles Bibliográficos
Autores principales: Han, Li, Zhao, Jingyuan, Gao, Yuejing, Gu, Zhaolin, Xin, Kai, Zhang, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293537/
https://www.ncbi.nlm.nih.gov/pubmed/32834929
http://dx.doi.org/10.1016/j.scs.2020.102329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293537/
https://www.ncbi.nlm.nih.gov/pubmed/32834929
http://dx.doi.org/10.1016/j.scs.2020.102329

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