High spatial resolution land-use regression model for urban ultrafine particle exposure assessment in Shanghai, China

• Published in: The Science of the total environment Vol. 816; p. 151633
• Main Authors: Ge, Yihui, Fu, Qingyan, Yi, Min, Chao, Yuan, Lei, Xiaoning, Xu, Xueyi, Yang, Zhenchun, Hu, Jianlin, Kan, Haidong, Cai, Jing
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 10.04.2022
• Subjects: Air Pollutants - analysis; Air Pollution - analysis; China; Environmental Monitoring; Exposure assessment; Land use regression model; Particle Size; Particulate Matter - analysis; Purpose-designed monitoring network; Spatial variation; Ultrafine particles; China; Ultrafine particles; Purpose-designed monitoring network; Spatial variation; Exposure assessment; Land use regression model

Little is currently known about long-term health effects of ambient ultrafine particles (UFPs) due to the lack of exposure assessment metrics suitable for use in large population-based studies. Land use regression (LUR) models have been used increasingly for modeling small-scale spatial variation in...