Characterizing long-term NO<sub>2</sub> concentration surfaces across a large metropolitan area through spatiotemporal land use regression modelling of mobile measurements.

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第一作者： Kerolyn K,Shairsingh

第一单位： Department of Chemical Engineering and Applied Chemistry. University of Toronto, Toronto, Ontario, M5S 3E5, Canada. Electronic address: Kerolyn.shairsingh@alumni.utoronto.ca.

作者： Kerolyn K,Shairsingh ^[1] ; Jeffrey R,Brook ^[2] ; Cristian M,Mihele ^[3] ; Greg J,Evans ^[4]

作者单位： Department of Chemical Engineering and Applied Chemistry. University of Toronto, Toronto, Ontario, M5S 3E5, Canada. Electronic address: Kerolyn.shairsingh@alumni.utoronto.ca. ^[1] Department of Chemical Engineering and Applied Chemistry. University of Toronto, Toronto, Ontario, M5S 3E5, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, M5T 3M7, Canada. Electronic address: jeff.brook@utoronto.ca. ^[2] Environment and Climate Change Canada, North York, Ontario, M3H 5T4, Canada. ^[3] Department of Chemical Engineering and Applied Chemistry. University of Toronto, Toronto, Ontario, M5S 3E5, Canada. ^[4]

关键词 Back-extrapolation Historical nitrogen dioxide Mobile sampling Nearest monitor On-road LUR model

主题词空气污染物(Air Pollutants);空气污染(Air Pollution);加拿大(Canada);环境监测(Environmental Monitoring);模型, 理论(Models, Theoretical);二氧化氮(Nitrogen Dioxide);颗粒物(Particulate Matter)

DOI 10.1016/j.envres.2021.111010

PMID 33716024

发布时间 2021-06-03

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准确一般字义偏差语意偏离译文作用小提交