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Global and Geographically and Temporally Weighted Regression Models for Modeling PM(2.5) in Heilongjiang, China from 2015 to 2018

Objective: This study investigated the relationships between PM(2.5) and 5 criteria air pollutants (SO(2), NO(2), PM(10), CO, and O(3)) in Heilongjiang, China, from 2015 to 2018 using global and geographically and temporally weighted regression models. Methods: Ordinary least squares regression (OLS...

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Detalles Bibliográficos
Autores principales:	Wei, Qingbin, Zhang, Lianjun, Duan, Wenbiao, Zhen, Zhen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950195/ https://www.ncbi.nlm.nih.gov/pubmed/31847317 http://dx.doi.org/10.3390/ijerph16245107

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