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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |