Characterizing long-term NO2 concentration surfaces across a large metropolitan area through spatiotemporal land use regression modelling of mobile measurements.
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DOI: 10.1016/j.envres.2021.111010
Abstract: A spatiotemporal land use regression (LUR) model optimized to predict nitrogen dioxide (NO2) concentrations obtained from on-road, mobile measurements collected in 2015-16 was independently evaluated using concentrations observed at multiple sites across Toronto, Canada, obtained… read more here.
Keywords: mobile measurements; spatiotemporal land; long term; model ... See more keywords