Development of Phase and Seasonally Dependent Land-Use Regression Models to Predict Atmospheric PAH Levels

Polycyclic aromatic hydrocarbons (PAHs) are an important class of pollutants in China. The land use regression (LUR) model has been used to predict the selected PAH concentrations and screen the key influencing factors. However, most previous studies have focused on particle-associated PAHs, and res...

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Detalles Bibliográficos
Autores principales: Tuerxunbieke, Ayibota, Xu, Xiangyu, Pei, Wen, Qi, Ling, Qin, Ning, Duan, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145409/
https://www.ncbi.nlm.nih.gov/pubmed/37112543
http://dx.doi.org/10.3390/toxics11040316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145409/
https://www.ncbi.nlm.nih.gov/pubmed/37112543
http://dx.doi.org/10.3390/toxics11040316

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