High Temporal Resolution Land Use Regression Models with POI Characteristics of the PM(2.5) Distribution in Beijing, China

PM(2.5) is one of the primary components of air pollutants, and it has wide impacts on human health. Land use regression models have the typical disadvantage of low temporal resolution. In this study, various point of interests (POIs) variables are added to the usual predictive variables of the gene...

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Detalles Bibliográficos
Autores principales: Zhang, Yan, Cheng, Hongguang, Huang, Di, Fu, Chunbao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201188/
https://www.ncbi.nlm.nih.gov/pubmed/34200158
http://dx.doi.org/10.3390/ijerph18116143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201188/
https://www.ncbi.nlm.nih.gov/pubmed/34200158
http://dx.doi.org/10.3390/ijerph18116143

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